Starred repositories
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - Professor Yu Liu
Large Language Model-enhanced Recommender System Papers
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A playbook for systematically maximizing the performance of deep learning models.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSy…
🤗 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.
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Best Practices on Recommendation Systems
MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.
An Open Source Machine Learning Framework for Everyone
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
An opinionated list of awesome Python frameworks, libraries, software and resources.
🍺 The missing package manager for macOS (or Linux)
A curated list of awesome self-supervised methods
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).
TensorFlow code and pre-trained models for BERT