An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

Code for the paper "Jukebox: A Generative Model for Music"

Model parallel transformers in JAX and Haiku

Power CLI and Workflow manager for LLMs (core package)

Hands-On Image Generation with TensorFlow 2.0, published by Packt

DeepFaceLab is the leading software for creating deepfakes.

DeepFaceLab is the leading software for creating deepfakes.

Open-source simulator for autonomous driving research.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

A dependency-free cross-platform swiss army knife for PDB files.

Graph algorithms for machine learning frameworks

TensorFlow for the IPU

Example code and applications for machine learning on Graphcore IPUs

A frictionless, pipeable approach to dealing with summary statistics

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Deep Learning for humans

Upserts, Deletes And Incremental Processing on Big Data.

Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.

Tooling for Terraform to support environments, hooks, etc.

Genetic algorithm to optimize Keras Sequential model

NVIDIA Data Science stack tools

Bayesian Data Analysis course at Aalto

Manipulate CSV files on the command line using dplyr

A Hyperparameter Tuning Library for Keras

Data science interview questions with answers. Not ideally (yet)

Easy R scripts on Google Cloud Platform via Cloud Run, Cloud Build and Cloud Scheduler

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more