dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

QuantumKatas

Tutorials and programming exercises for learning Q# and quantum computing

DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

swift

Swift for TensorFlow

docs

TensorFlow documentation