Stars
Post-training framework for large models, from new objectives to new rollout systems.
Modal SDKs for JavaScript/TypeScript and Go
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
A system for quickly generating training data with weak supervision
A minimal, extensible, fast and productive framework for building HTTP APIs with Python 3.6 and later.
A Scala feature transformation library for data science and machine learning
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Visualizations for machine learning datasets
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Changelog makes world-class developer pods. This is our open source platform.
Tools for diffing and merging of Jupyter notebooks.
Dockerized spotify/luigi scheduler using nginx as proxy for the dashboard and mysql for task history database
A docker image that uses a standard data container and runs by default on SQLite. Very usefull for testing driving AskBot
Some sample IPython notebooks for scikit-learn
Data Science/Machine Learning Docker Image for CPU
Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)
Sequential model-based optimization with a `scipy.optimize` interface
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models