leeningzzu

gpt_academic

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, moss等。

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

saspy

A Python interface module to the SAS System. It works with Linux, Windows, and Mainframe SAS as well as with SAS in Viya.

PRML

PRML algorithms implemented in Python

Python

All Algorithms implemented in Python

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

ML-NOTE

:orange_book:慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)

ESL-CN

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

Linear-Algebra-With-Python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

pgmpy

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

DBNSMILER

Wrapper functions for Dynamic Bayesian Network (DBN) and BN manipulation in R using SMILE engine in Windows

Ai-Learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

lidc_nodule_detection

lidc nodule detection with CNN and LSTM network

Image-Processing-in-Julia

Julia 数字图像处理入门

XX-Net

A proxy tool to bypass GFW.

Qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

awesome-machine-learning

Learning Resources And Links Of Machine Learning（updating）

BioNLP-2016