|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Dali||4,290||10 hours ago||263||apache-2.0||C++|
|A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.|
|Texar||2,008||2||3 years ago||5||November 19, 2019||32||apache-2.0||Python|
|Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow|
|Dialogpt||1,751||5 months ago||59||mit||Python|
|Large-scale pretraining for dialogue|
|Data Science On Gcp||1,157||3 months ago||13||apache-2.0||Jupyter Notebook|
|Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017|
|Texar Pytorch||711||1||1||a year ago||5||April 14, 2022||36||apache-2.0||Python|
|Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/|
|Haupt||452||10 hours ago||1||October 04, 2022||agpl-3.0||Python|
|Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon|
|Bytewax||397||2 days ago||24||April 22, 2022||13||apache-2.0||Rust|
|Python Stream Processing|
|Godel||328||3 months ago||12||mit||Python|
|Large-scale pretrained models for goal-directed dialog|
|Nonechucks||315||2||2 years ago||18||June 09, 2021||17||mit||Python|
|Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!|
|Machine Learning Notebooks||241||2 years ago||1||Jupyter Notebook|
|Machine Learning notebooks for refreshing concepts.|
Open Skills Project - Machine Learning
This is the library for the methods usable by the Open Skills API, including processing algorithms and utilities for computing our jobs and skills taxonomy.
New to Skills-ML? Check out the Skills-ML Tour! It will get you started with the concepts. You can also check out the notebook version of the tour which you can run on your own.
skills-ml depends on python3.6, so create a virtual environment using a python3.6 executable.
virtualenv venv -p /usr/bin/python3.6
Activate your virtualenv
pip install skills-ml
skills-ml uses a forked version of pydocmd, and a custom script to keep the pydocmd config file up to date. Here's how to keep the docs updated before you push:
$ cd docs $ PYTHONPATH="../" python update_docs.py # this will update docs/pydocmd.yml with the package/module structure and export the Skills-ML Tour notebook to the documentation directory $ pydocmd serve # will serve local documentation that you can check in your browser $ pydocmd gh-deploy # will update the gh-pages branch
This project is licensed under the MIT License - see the
LICENSE.md file for details.