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All Algorithms implemented in Python
🤗 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
TensorFlow code and pre-trained models for BERT
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Code and documentation to train Stanford's Alpaca models, and generate the data.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
TuShare is a utility for crawling historical data of China stocks
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
Minimal and clean examples of machine learning algorithms implementations
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
ImageBind One Embedding Space to Bind Them All
A Library for Advanced Deep Time Series Models.
A Collection of Variational Autoencoders (VAE) in PyTorch.
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
Portfolio analytics for quants, written in Python
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf