RL-first post-training framework for large models.

SDK libraries for Modal

Modal SDKs for JavaScript/TypeScript and Go

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

A NES emulator built to learn how to build an emulator

A TUI habit tracker

codoodling on orchestration

Simple and flexible tool for managing secrets

Tools for causal analysis

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

The Swift (and Objective-C) testing framework.

Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)

Visual scraping for Scrapy

the portable Python dataframe library

Sequential model-based optimization with a `scipy.optimize` interface

Declarative visualization library for Python

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models