Stars
verl: Volcano Engine Reinforcement Learning for LLMs
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Example models using DeepSpeed
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Mod 10000 els for Item and User Modeling
Development repository for the Triton language and compiler
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
✨✨VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Code for ALBEF: a new vision-language pre-training method
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
✨✨Latest Advances on Multimodal Large Language Models
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Curated collection of papers in machine learning systems
Hopsworks - Data-Intensive AI platform with a Feature Store
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
The simplest, fastest repository for training/finetuning medium-sized GPTs.
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
a deep learning framework with define-by-run and gpu.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Implement Wide & Deep algorithm by using NumPy
Distributed LR、 FM model on Parameter Server. FTRL and SGD Optimization Algorithm.
PKU-DAIR / Hetu
Forked from Hsword/HetuA high-performance distributed deep learning system targeting large-scale and automated distributed training.
An industrial deep learning framework for high-dimension sparse data
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
An implementation of a deep learning recommendation model (DLRM)