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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Making large AI models cheaper, faster and more accessible
TensorFlow code and pre-trained models for BERT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python sample codes for robotics algorithms.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Image augmentation for machine learning experiments.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Train transformer language models with reinforcement learning.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Pytorch implementation of convolutional neural network visualization techniques
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Implementation of Graph Convolutional Networks in TensorFlow
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。
A PyTorch Library for Meta-learning Research
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A modular RL library to fine-tune language models to human preferences
Opencv4.0 with python (English&中文)， and will keep the update ! 👊
A Platform for Many-Agent Reinforcement Learning