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Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
An industrial deep learning framework for high-dimension sparse data
TensorFlow code and pre-trained models for BERT
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
LightSeq: A High Performance Library for Sequence Processing and Generation
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Notes about courses Dive into Deep Learning by Mu Li
A curated list of Decision Transformer resources (continually updated)
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A collection of various deep learning architectures, models, and tips
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Jupyter notebooks for the Natural Language Processing with Transformers book
Lime: Explaining the predictions of any machine learning classifier
Fit interpretable models. Explain blackbox machine learning.
AI与数据科学各类工具库速查表与参考代码
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
A flow chart editing framework focus on business customization. 专注于业务自定义的流程图编辑框架，支持实现脑图、ER图、UML、工作流等各种图编辑场景。
A high performance and generic framework for distributed DNN training
ModelScope: bring the notion of Model-as-a-Service to life.