OREGON STATE UNIVERSITY
The Open Source Lab (OSUOSL) and Center for Quantitative Life Sciences (CQLS, previously CGRB) partner with IBM and OpenPOWER in order to provide download resources around Open-CE. Open-CE is a community driven software distribution for machine learning that runs on standard Linux platforms alongside NVIDIA GPU technologies. Questions and general discussions involving OSU's builds can be directed to the Open-CE Slack channel: https://open-ce.slack.com/archives/C06DGE5GHND .
This is release 1.11.0 of Open Cognitive Environment (Open-CE)
Build Status:
| CPU Arch | Build Base | Py3.10 | Py3.11 | CPU-only | CUDA 11.8 | CUDA 12.2 | Date |
|---|---|---|---|---|---|---|---|
| ppc64le(P9) | UBI 8 | DONE | DONE | DONE | Err | DONE | 06/07/2024 |
| ppc64le(P10) | UBI 9 | DONE | DONE | DONE | N/A | N/A | 06/11/2024 |
| x86_64 | UBI 9 | DONE | DONE | DONE | Err | DONE |
What's new
Learn more
Get information about planning, configuring, and managing Open-CE below:
We recommend users use one of the listed operating systems listed below. This is a standard conda repository and can be added to any conda install. Conda must be configured to give priority to installing packages from this channel.
Open-CE can be installed and run directly on a bare-metal RHEL and Ubuntu based system.
* Note: We (CQLS & OSL) have dropped support of RHEL/CentOS 7, as we have transitioned most systems away before the EOS date.
The Open-CE MLDL packages are distributed as conda packages in an online conda repository. Conda must be configured to give priority to installing packages from this channel.
Add the Open-CE channel to the conda configuration by running the following command:
conda config --prepend channels https://ftp.osuosl.org/pub/open-ce/current/
With conda, you can create environments that have different versions of Python or packages installed in them. Conda environments are optional but recommended. If not used, packages are installed in the default environment called base, which often has a higher risk of containing conflicting packages or dependencies. Switching between environments is called activating the environment.
The syntax to create and activate a conda environment is:
conda create --name <environment name> python=<python version>
conda activate <environment name>
Note: It is recommended that you specify the Python version when creating a new environment. If you do not specify the version, the minimum python version for all dependent packages that require Python is installed.
For example, to create an environment named opence_env with Python 3.11:
conda create --name opence_env python=3.11
conda activate opence_env
For more information on what you can do with conda environment see https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html.
Note: Open-CE should be run as a non-privileged user and not root. The Open-CE components are designed to be usable by normal users, and the pre-installed docker images provide a non-root user by default. Some of the Open-CE components will give warnings or will fail when run as root.
You can install the MLDL frameworks individually. The framework packages include the following versions.
Table 1. Framework packages (Open-CE 1.11.0)
| Package | Version | Description | noarch |
|---|---|---|---|
| _pytorch_select | 2.0 | Package used to select the specific PyTorch build variant | |
| _tensorflow_select | 2.0 | Package used to select the specific Tensorflow build variant | |
| absl-py | 2.0.0 | This repository is a collection of Python library code for building... | |
| aioredis | 2.0.1 | asyncio (PEP 3156) Redis support | X |
| aiorwlock | 1.3.0 | Read write lock for asyncio. | X |
| apache-beam | 2.53.0 | Apache Beam: An advanced unified programming model | |
| array-record | 0.2.0 | A new file format derived from Riegeli | |
| arrow-cpp | 15.0.1 | C++ libraries for Apache Arrow | |
| arrow-cpp-proc | 15.0.1 | A meta-package to select Arrow build variant | |
| arviz | 0.14.0 | Exploratory analysis of Bayesian models with Python | X |
| av | 10.0.0 | Pythonic bindings for FFmpeg. | |
| backoff | 2.2.1 | Function decoration for backoff and retry | X |
| bazel | 6.1.0 | build system originally authored by Google | |
| bazel-toolchain | 0.1.5 | Helper script to generate a crosscompile toolchain for Bazel with the... | |
| black | 23.10.0 | The uncompromising code formatter. | |
| blas | 1.0 | None | |
| blessed | 1.19.1 | Easy, practical library for making terminal apps, by providing an... | X |
| boost_mp11 | 1.76.0 | C++11 metaprogramming library | |
| bsddb3 | 6.2.9 | Python bindings for Oracle Berkeley DB | |
| cfitsio | 3.470 | A library for reading and writing FITS files | |
| cli11 | 2.2.0 | CLI11 is a command line parser for C++11 and beyond that provides a... | |
| cmake | 3.26.4 | CMake is an extensible, open-source system that manages the build process | |
| cmdstan | 2.33.1 | CmdStan, the command line interface to Stan | |
| cmdstanpy | 1.2.0 | CmdStanPy is a lightweight interface to Stan for Python users which... | X |
| coin-or-cbc | 2.10.7 | COIN-OR branch and cut (Cbc) | |
| coin-or-cgl | 0.60.6 | COIN-OR Cut Generation Library (Cgl) | |
| coin-or-clp | 1.17.7 | COIN-OR linear programming (Clp) | |
| coin-or-osi | 0.108.7 | Coin OR Open Solver Interface (OSI) | |
| coin-or-utils | 2.11.6 | COIN-OR Utilities (CoinUtils) | |
| coincbc | 2.10.7 | COIN-OR branch and cut (Cbc) | X |
| crcmod | 1.7 | CRC Generator | |
| cudatoolkit | 12.2.0 | CUDA Toolkit - Including CUDA runtime | |
| cudatoolkit-dev | 12.2.0 | Develop, Optimize and Deploy GPU-accelerated Apps | |
| cudnn | 8.9.6_12.2 | The NVIDIA CUDA Deep Neural Network library. A GPU-accelerated library... | |
| dali | 1.32.0 | A library containing both highly optimized building blocks and an... | |
| dali-ffmpeg | 5.1.1 | Cross-platform solution to record, convert and stream audio and video. | |
| dali-tf-plugin | 1.32.0 | A library containing both highly optimized building blocks and an... | |
| datasets | 2.16.1 | HuggingFace/Datasets is an open library of NLP datasets. | X |
| dateutils | 0.6.12 | Various utilities for working with date and datetime objects | X |
| deepdiff | 5.8.1 | Deep Difference and Search of any Python object/data. | X |
| deepspeed | 0.11.1 | DeepSpeed Library: An easy-to-use deep learning optimization software suite. | |
| dm-tree | 0.1.8 | A library for working with nested data structures. | |
| eigen | 3.4.0 | C++ template library for linear algebra | |
| etils | 1.0.0 | Collection of eclectic utils for python. | X |
| fastapi | 0.92.0 | FastAPI framework, high performance, easy to learn, fast to code, ready... | X |
| ffmpeg | 4.2.2 | Cross-platform solution to record, convert and stream audio and video. | |
| fire | 0.4.0 | Python Fire is a library for creating command line interfaces (CLIs)... | X |
| flatbuffers | 23.1.21 | Memory Efficient Serialization Library | |
| fsspec | 2023.10.0 | A specification for pythonic filesystems | X |
| gmock | 1.13.0 | Google's C++ test framework | |
| googledrivedownloader | 0.4 | Minimal class to download shared files from Google Drive. | X |
| grpc-cpp | 1.54.3 | gRPC - A high-performance, open-source universal RPC framework | |
| grpcio | 1.54.3 | HTTP/2-based RPC framework | |
| gtest | 1.13.0 | Google's C++ test framework | |
| hatch-fancy-pypi-readme | 23.1.0 | Fancy PyPI READMEs with Hatch | X |
| hjson-py | 3.1.0 | Hjson, a user interface for JSON. | X |
| holidays | 0.27 | Generate and work with holidays in Python | X |
| horovod | 0.28.1 | Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. | |
| httplib2 | 0.19.1 | A comprehensive HTTP client library | X |
| huggingface_hub | 0.20.0 | Client library to download and publish models on the huggingface.co hub | X |
| inquirer | 2.10.1 | Collection of common interactive command line user interfaces, based on... | X |
| java-11-openjdk-cos7-ppc64le | 11.0.6.10 | (CDT) OpenJDK Runtime Environment | X |
| java-11-openjdk-devel-cos7-ppc64le | 11.0.6.10 | (CDT) OpenJDK Development Toolkit | X |
| java-11-openjdk-headless-cos7-ppc64le | 11.0.6.10 | (CDT) The OpenJDK runtime environment without audio and video support | X |
| jax | 0.4.23 | Differentiate, compile, and transform Numpy code | |
| jaxlib | 0.4.23 | Composable transformations of Python+NumPy programs: differentiate,... | |
| joblib | 1.3.2 | Lightweight pipelining: using Python functions as pipeline jobs. | X |
| jpeg-turbo | 2.1.4 | IJG JPEG compliant runtime library with SIMD and other optimizations | |
| jsonpatch | 1.33 | Apply JSON-Patches (RFC 6902) | X |
| keras | 2.14.0 | Deep Learning for Python | |
| langchain | 0.1.6 | Building applications with LLMs through composability | X |
| langchain-community | 0.0.19 | Community contributed LangChain integrations. | X |
| langchain-core | 0.1.22 | Core APIs for LangChain, the LLM framework for buildilng applications... | X |
| langsmith | 0.0.87 | Client library to connect to the LangSmith language model tracing and... | X |
| libabseil | 20230125.0 | Abseil Common Libraries (C++) | |
| libdate | 3.0.1 | A date and time library based on the C++11/14/17 <chrono> header | |
| libflac | 1.3.3 | Flac audio format | |
| liblightgbm | 4.2.0 | Light Gradient Boosting Machine that uses tree based learning algorithms | |
| libmamba | 1.5.6 | A fast drop-in alternative to conda, using libsolv for dependency resolution | |
| libmambapy | 1.5.6 | A fast drop-in alternative to conda, using libsolv for dependency resolution | |
| libnvjitlink | 12.2.140 | CUDA nvJitLink library | |
| libopenblas | 0.3.26 | An Optimized BLAS library | |
| libopenblas-static | 0.3.26 | OpenBLAS static libraries. | |
| libopencv | 4.8.1 | Computer vision and machine learning software library. | |
| libortools | 9.6 | Google Operations Research Tools (or-tools) python package | |
| libprotobuf | 3.21.12 | Protocol Buffers - Google's data interchange format. C++ Libraries... | |
| libprotobuf-static | 3.21.12 | Protocol Buffers - Google's data interchange format. C++ Libraries... | |
| libsndfile | 1.0.31 | libsndfile - a C library for reading and writing files containing... | |
| libtar | 1.2.20 | C library for manipulating tar files | |
| libtensorflow | 2.14.1 | TensorFlow is a machine learning library, base GPU package, tensorflow only. | |
| libxgboost | 2.0.3 | Scalable, Portable and Distributed Gradient Boosting Library | |
| lightgbm | 4.2.0 | Light Gradient Boosting Machine that uses tree based learning algorithms | |
| lightgbm-proc | 4.2.0 | Light Gradient Boosting Machine that uses tree based learning algorithms | |
| lightning-app | 2.1.3 | Use Lightning Apps to build everything from production-ready,... | X |
| lightning-cloud | 0.5.57 | Lightning Cloud. | X |
| lightning-fabric | 2.1.3 | Use Lightning Apps to build everything from production-ready,... | X |
| lightning-utilities | 0.10.0 | Lightning Utilities. | X |
| llvm-openmp | 14.0.6 | The OpenMP API supports multi-platform shared-memory parallel... | |
| magma | 2.6.1 | Dense linear algebra library similar to LAPACK but for... | |
| mamba | 1.5.6 | A fast drop-in alternative to conda, using libsolv for dependency resolution | |
| maturin | 0.13.2 | Build and publish crates with pyo3, rust-cpython and cffi bindings as... | |
| nasm | 2.15.05 | Netwide Assembler: an assembler targetting the Intel X86 series of processors. | |
| nccl | 2.19.3 | NVIDIA Collective Communications Library. Implements multi-GPU and... | |
| nomkl | 3.0 | None | |
| numactl | 2.0.16 | Control NUMA policy for processes or shared memory | |
| objsize | 0.6.1 | Traversal over Python's objects subtree and calculate the total... | X |
| onnx | 1.15.0 | Open Neural Network Exchange library | |
| onnxconverter-common | 1.14.0 | Common utilities for ONNX converters | X |
| onnxmltools | 1.12.0 | ONNXMLTools enables conversion of models to ONNX | X |
| onnxruntime | 1.16.3 | cross-platform, high performance ML inferencing and training accelerator | |
| openblas | 0.3.26 | An optimized BLAS library | |
| openblas-devel | 0.3.26 | OpenBLAS headers and libraries for developing software that used OpenBLAS. | |
| opencensus | 0.7.13 | OpenCensus - A stats collection and distributed tracing framework | X |
| opencv | 4.8.1 | Computer vision and machine learning software library. | |
| opencv-proc | 4.8.1 | Computer vision and machine learning software library. | |
| openmpi | 4.1.5 | An open source Message Passing Interface implementation. | |
| optional-lite | 3.4.0 | A C++17-like optional, a nullable object for C++98, C++11 and later in... | |
| orbit-ml | 1.1.4.2 | Orbit is a package for bayesian time series modeling and inference. | |
| orc | 1.9.0 | C++ libraries for Apache ORC | |
| ordered-set | 4.1.0 | A MutableSet that remembers its order, so that every entry has an index. | X |
| orjson | 3.8.0 | orjson is a fast, correct JSON library for Python. | |
| ortools-cpp | 9.6 | Google Operations Research Tools (or-tools) python package | |
| ortools-python | 9.6 | Google Operations Research Tools (or-tools) python package | |
| packaging | 23.2 | Core utilities for Python packages | X |
| prophet | 1.1.5 | Automatic Forecasting Procedure | |
| protobuf | 4.21.12 | Protocol Buffers - Google's data interchange format. | |
| py-opencv | 4.8.1 | Computer vision and machine learning software library. | |
| pyarrow | 15.0.1 | Python libraries for Apache Arrow | |
| pybind11 | 2.9.2 | Seamless operability between C++11 and Python | |
| pybind11-abi | 4 | Seamless operability between C++11 and Python | X |
| pybind11-global | 2.9.2 | Seamless operability between C++11 and Python | |
| pyink | 23.10.0 | Pyink is a python formatter, forked from Black with slightly different behavior. | X |
| pyro-api | 0.1.2 | Generic API for dispatch to Pyro backends. | X |
| pyro-ppl | 1.8.4 | A Python library for probabilistic modeling and inference | X |
| python-flatbuffers | 23.1.21 | Python runtime library for use with the Flatbuffers serialization format. | X |
| python-multipart | 0.0.5 | A streaming multipart parser for Python. | X |
| pytorch | 2.1.2 | Meta-package to install GPU-enabled PyTorch variant | |
| pytorch-base | 2.1.2 | PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. | |
| pytorch-cpu | 2.1.2 | Meta-package to install CPU-only PyTorch variant | |
| pytorch-lightning | 2.1.3 | PyTorch Lightning is the lightweight PyTorch wrapper for ML... | X |
| pytorch-lightning-bolts | 0.7.0 | Pretrained SOTA Deep Learning models, callbacks and more for research... | X |
| pytorch_geometric | 2.4.0 | Geometric Deep Learning Extension Library for PyTorch | X |
| pytorch_scatter | 2.1.2 | PyTorch Extension Library of Optimized Scatter Operations | |
| pytorch_sparse | 0.6.18 | PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations | |
| ray-air | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| ray-all | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| ray-client | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| ray-core | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| ray-data | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| ray-default | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| ray-rllib | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| ray-serve | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| ray-train | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| ray-tune | 2.9.2 | Ray is a fast and simple framework for building and running distributed... | |
| rdflib | 6.1.1 | RDFLib is a Python library for working with RDF, a simple yet powerful... | X |
| rust | 1.77.0 | Rust is a systems programming language that runs blazingly fast,... | |
| rust-std-powerpc64le-unknown-linux-gnu | 1.77.0 | Rust is a systems programming language that runs blazingly fast,... | X |
| rust_linux-ppc64le | 1.77.0 | A safe systems programming language (conda activation scripts) | |
| safeint | 3.0.26 | SafeInt is a class library for C++ that manages integer overflows. | |
| scikit-learn | 1.3.0 | A set of python modules for machine learning and data mining | |
| sentencepiece | 0.1.99 | An unsupervised text tokenizer and detokenizer mainly for Neural... | |
| setuptools-rust | 1.5.1 | Setuptools rust extension plugin | X |
| skl2onnx | 1.16.0 | Convert scikit-learn models and pipelines to ONNX | X |
| sklearn-pandas | 2.2.0 | Pandas integration with sklearn | X |
| stanio | 0.3.0 | Preparing inputs to and reading outputs from Stan. | X |
| starlette | 0.25.0 | The little ASGI framework that shines. | X |
| starlette-full | 0.25.0 | The little ASGI framework that shines. | X |
| starsessions | 1.3.0 | Pluggable session support for Starlette. | X |
| tensorboard | 2.14.0 | TensorFlow's Visualization Toolkit. | X |
| tensorboard-data-server | 0.7.0 | Data server for TensorBoard | X |
| tensorflow | 2.14.1 | Meta-package to install GPU-enabled TensorFlow variant | |
| tensorflow-base | 2.14.1 | TensorFlow is a machine learning library, base GPU package, tensorflow only. | |
| tensorflow-cpu | 2.14.1 | Meta-package to install CPU-only TensorFlow variant | |
| tensorflow-datasets | 4.9.4 | A collection of datasets ready to use with TensorFlow | X |
| tensorflow-estimator | 2.14.0 | TensorFlow Estimator | X |
| tensorflow-hub | 0.15.0 | A library for transfer learning by reusing parts of TensorFlow models. | X |
| tensorflow-io | 0.35.0 | Dataset, streaming, and file system extensions | |
| tensorflow-io-gcs-filesystem | 0.35.0 | Dataset, streaming, and file system extensions | |
| tensorflow-metadata | 1.14.0 | Utilities for passing TensorFlow-related metadata between tools | X |
| tensorflow-model-optimization | 0.7.5 | A library that to optimize TensorFlow models for deployment and execution. | |
| tensorflow-probability | 0.22.1 | TensorFlow Probability is a library for probabilistic reasoning and... | |
| tensorflow-serving | 2.14.1 | TensorFlow Serving is an open-source library for serving machine learning models | |
| tensorflow-serving-api | 2.14.1 | TensorFlow Serving is an open-source library for serving machine learning models | X |
| tensorflow-text | 2.14.0 | TF.Text is a TensorFlow library of text related ops, modules, and subgraphs. | |
| tf2onnx | 1.15.1 | Tensorflow to ONNX converter | |
| tiktoken | 0.6.0 | tiktoken is a fast BPE tokeniser for use with OpenAI's models | |
| tokenize-rt | 4.2.1 | A wrapper around the stdlib tokenize which roundtrips. | X |
| tokenizers | 0.15.2 | Fast State-of-the-Art Tokenizers optimized for Research and Production | |
| torchdata | 0.7.1 | Common modular data loading primitives for easily constructing flexible... | |
| torchmetrics | 1.2.1 | Machine learning metrics for distributed, scalable PyTorch applications. | X |
| torchtext | 0.16.2 | Meta-package to install torchtext variant for GPU-enabled pytorch | |
| torchtext-base | 0.16.2 | Text utilities and datasets for PyTorch | |
| torchtext-cpu | 0.16.2 | Meta-package to install torchtext variant for CPU-only pytorch | |
| torchvision | 0.16.2 | Meta-package to install GPU-enabled torchvision variant | |
| torchvision-base | 0.16.2 | Image and video datasets and models for torch deep learning | |
| torchvision-cpu | 0.16.2 | Meta-package to install CPU-only torchvision variant | |
| transformers | 4.36.2 | State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch | X |
| tzdata-java-cos7-ppc64le | 2019c | (CDT) OpenJDK Runtime Environment | X |
| uvicorn | 0.16.0 | The lightning-fast ASGI server. | |
| uwsgi | 2.0.25.1 | The uWSGI project aims at developing a full stack for building hosting... | |
| xgboost | 2.0.3 | Scalable, Portable and Distributed Gradient Boosting Library | |
| xgboost-proc | 2.0.3 | Scalable, Portable and Distributed Gradient Boosting Library |
With the conda environment activated, run the following command:
conda install <package name>
Find information about uninstalling machine learning and deep learning MLDL frameworks.
The MLDL framework packages can be uninstalled individually, or you can uninstall all of the MLDL packages at the same time.
If the frameworks are installed into a separate conda environment, all of the frameworks can be removed by simply deleting the environment:
conda env remove -n <environment name>
Individual frameworks (and any packages that depend on them) can be removed by removing the individual package:
conda remove <package name>
Important: This command removes the specified packages and any packages that depend on any of the specified packages. If you want to skip this dependency checking and remove just the requested packages, add the --force option. However, this may break your environment, so use this option with caution.
We recommend that you install the latest release of Open-CE. However, if you have an earlier version installed, you can find information below:
Release date: 01/29/2024 (x86), 02/14/2024 (ppc64le)
This is release 1.10.0 of Open Cognitive Environment (Open-CE)
What's new
Release date: 12/20/2023
This is bug fix release 3 of release 1.9. No other additions have been made since 1.9.1.
What's new
Release date: 08/07/2023
This is bug fix release 1 of release 1.9. Version 1.8.0 was also released (01/12/2023), but no description/update was given.
Release date: 09/29/2022
This is bug fix release 2 of release 1.7
What's new
Release date: 05/19/2022
This is bug fix release 1 of release 1.6
What's new
Release date: 01/11/2021
This is bug fix release 1 of release 1.5
What's new
Key changes include:
Refresh PyTorch to v1.10.1 remove py36 blocks and dataclasses from all recipes Update DALI to 1.9 (from 1.9-dev) Update tensorflow metadata to 1.5.0 Enable uwsgi for python version 3.9
Release date: 12/08/2021
What's new
This is release 1.5.0 of the Open Cognitive Environment (Open-CE), codenamed Otter
This release of Open-CE supports NVIDIA's CUDA versions 10.2,11.2 as well as Python 3.7,3.8,3.9.
Release date: 10/10/2021
What's new
This is bug fix 1 of release 1.4 of Open Cognitive Environment (Open-CE). Main updates are:
For a complete list of changes also see the 1.4.0 release.
Release date: 08/26/2021
What's new
This is bug fix 1 of release 1.3 of Open Cognitive Environment (Open-CE), code named Chipmunk. Bug Fix Changes
For a complete list of changes also see the 1.3.0 release.
Release date: 06/16/2021
What's new
This is release 1.2.2 of Open Cognitive Environment (Open-CE).
This is bug fix 2 of release 1.2 of Open Cognitive Environment (Open-CE), code named Prairiedog.
Bug Fix Changes
Previously, the Open-CE build tools were part of the Open-CE repository. They can now be found in their own repo.
A release of Open-CE now only includes: - The Open-CE env files used to generate a conda channel containing all of the packages that are part of an Open-CE release. - A collection of feedstocks containing conda recipes for building the packages that are part of an Open-CE release.
New Features - PyArrow is now included as part of Open-CE. - The protobuf version that all Open-CE packages use is now set to 3.11.2. - TensorFlow serving was removed, due to its incompatibility with protobuf 3.11.2
Bug Fix Changes - The conda hash string has been removed from the name of all noarch packages. - The version of sqlite that TensorFlow uses is now explicitly set 38 39.
Release date: 04/16/2021
What's new
This is release 1.2 of Open Cognitive Environment (Open-CE), code named Prairiedog.
Previously, the Open-CE build tools were part of the Open-CE repository. They can now be found in their own repo.
A release of Open-CE now only includes: - The Open-CE env files used to generate a conda channel containing all of the packages that are part of an Open-CE release. - A collection of feedstocks containing conda recipes for building the packages that are part of an Open-CE release.
New Features - PyArrow is now included as part of Open-CE. - The protobuf version that all Open-CE packages use is now set to 3.11.2. - TensorFlow serving was removed, due to its incompatibility with protobuf 3.11.2
Bug Fix Changes - The conda hash string has been removed from the name of all noarch packages. - The version of sqlite that TensorFlow uses is now explicitly set 38 39.
Release date: 01/12/2021
What's new
This is release 1.1 of Open Cognitive Environment (Open-CE), code named Meerkat.
Release date: 11/10/2020
What's new
Open-CE 1.0 is the current release of Open-CE and includes the following features:
OSU Open Source Lab
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info@osuosl.org
Phone: 541-737-9900
