AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

PyTorch Tutorial for Deep Learning Researchers

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Instant voice cloning by MyShell.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Graph Neural Network Library for PyTorch

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

Bayesian Modeling and Probabilistic Programming in Python

A Python implementation of global optimization with gaussian processes.

《Pytorch模型训练实用教程》中配套代码

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Efficiently computes derivatives of numpy code.

Matplotlib styles for scientific plotting

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Distributed Evolutionary Algorithms in Python

SwinIR: Image Restoration Using Swin Transformer (official repository)

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube

JAX-based neural network library

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Code for visualizing the loss landscape of neural nets

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

A library for scientific machine learning and physics-informed learning

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

High-Performance Symbolic Regression in Python and Julia