Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Learning to Rank in TensorFlow

RSTutorials: A Curated List of Must-read Papers on Recommender System.

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

A list of recent papers regarding deep reinforcement learning

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Git extensions to provide high-level repository operations for Vincent Driessen's branching model.

Blade is a powerful build system from Tencent, supports many mainstream programming languages, such as C/C++, java, scala, python, protobuf...

A high performance and generic framework for distributed DNN training

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…

The documentations of TARS

Tars is a high-performance RPC framework based on name service and Tars protocol, also integrated administration platform, and implemented hosting-service via flexible schedule.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

A toolkit for developing and comparing reinforcement learning algorithms.

Python-based framework for building and evaluating session-based and session-aware recommender systems.

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

An implementation of a deep learning recommendation model (DLRM)

Fast strong hash functions: SipHash/HighwayHash

Implementation of Graph Convolutional Networks in TensorFlow

Representation learning on large graphs using stochastic graph convolutions.

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

A general-purpose, distributed graph random walk engine.

A distributed graph deep learning framework.

Fastest network node embeddings in the west

Single Headed Attention RNN - "Stop thinking with your head"