Stars
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…
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
Numerical Tours of Signal Processing
A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.
Web site of the Computational Optimal Transport book
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
The basic distribution probability Tutorial for Deep Learning Researchers
该资源是作者在华为云撰写《从零到壹Python图像处理及识别》电子书和源代码，全书648页48章，涵盖图像处理、图像识别和图像增强，基础入门书籍希望对大家有所帮助，且看且珍惜~
该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。
Flexible Python configuration system. The last one you will ever need.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
ML and DL related contests, competitions and conference challenges.
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
OpenMMLab Model Compression Toolbox and Benchmark.
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
A large scale study of Knowledge Distillation.
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
Pytorch implementation of various Knowledge Distillation (KD) methods.