Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
Ongoing research training transformer models at scale
Source code for Twitter's Recommendation Algorithm
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESM…
Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/
A Simple and Versatile Framework for Object Detection and Instance Recognition
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet
An Open Foundation Model and Benchmark to Accelerate Generative Recommendation
Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
Code used for training Faster R-CNN on DOTA
Sequential deep matching model for recommender system at Alibaba
Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations
Deep neural network model based on the tree
Deep Face Recognition Toolbox developed on TensorFlow
PyTorch implementation of DQN, Double DQN, Dual DQN, Dual Double DQN