刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

I hope this repo can help you a lot!

A collection of libraries to optimise AI model performances

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

AAGPT is another experimental open-source application showcasing the capabilities of large language models, such as GPT-3.5 and GPT-4.

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

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-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

This repo includes ChatGPT prompt curation to use ChatGPT better.

For easy metric logging and visualization

A simple visual editor for creating commutative diagrams.

A curated list of awesome TikZ documentations, libraries and resources

Flops counter for convolutional networks in pytorch framework

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

CVPR 2024 论文和开源项目合集

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Foreign language reading and translation assistant based on copy and translate.

PyTorch从入门到精通

😎 A curated list of awesome Jupyterlab extension projects. 🌠 Detailed introduction with images.

Fast, flexible and easy to use probabilistic modelling in Python.

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Keras Temporal Convolutional Network.

Sequence modeling benchmarks and temporal convolutional networks

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"