ChanChiChoi

llm-from-zero-to-interview. 打造一整套从0基础到资深llm算法工程师面试的书籍

log2repro. 粘贴一段 Python traceback，即可获得一个独立的 reproduce.py，能触发原始错误——附带 requirements.txt、mock 数据和验证说明。

prompt-git. Prompt 版本控制与自动评估工具

milvus-standalone-helper. 将多个milvus standalone节点通过helper进行数据切分或者镜像存取

Jackrong-llm-finetuning-guide. Jupyter Notebook

forgot-check. vibe coding生成的一个忘打卡app，主要是上班靠近某个点，下班远离某个点就各种方式提醒别忘了打卡

Qwen2.5-Omni. Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.

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。

chatGLM-6B-QLoRA. 使用peft库，对chatGLM-6B/chatGLM2-6B实现4bit的QLoRA高效微调，并做lora model和base model的merge及4bit的量化（quantize）。

flink. Apache Flink

linux-insides-zh. Linux 内核揭秘

awesome-Federated-Learning. federated-learning

lapack. LAPACK development repository

linuxtools_rst. Linux工具快速教程

eigen-git-mirror. THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen

pybind11. Seamless operability between C++11 and Python

PocketFlow. An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

awesome-hand-pose-estimation. Awesome work on hand pose estimation/tracking

MARL-Papers. Paper list of multi-agent reinforcement learning (MARL)

jupyter-themes. Custom Jupyter Notebook Themes

ray. Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ML_toolbox. A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard

pycuda. CUDA integration for Python, plus shiny features

opencv_contrib. Repository for OpenCV's extra modules

swig. SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

open-images-dataset. Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.

awesome-object-detection. Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

TensorRT_Tutorial. C++

cn_mooc_dl. 中国大学MOOC，学堂在线，网易云课堂，下载

Reading-List-of-Reinforcement-Learning-for-NLP. Reading List of Reinforcement Learning for NLP

faster-rcnn.pytorch. A faster pytorch implementation of faster r-cnn

py-faster-rcnn. Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

orange3. 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

CEAL-Medical-Image-Segmentation. Active Deep Learning for Medical Imaging Segmentation

BasicImageSegmentation. Some basic image segmentation algorithms, include mean-shift, graph-based, SLIC, SEEDS, GrabCut, OneCut, et al.

DCNN-Image-Segmentation. Image Segmentation Methods Based on Deep Learning: Study and Implementation

pytorch-segmentation-detection. Image Segmentation and Object Detection in Pytorch

Tensorflow-Segmentation. Semantic image segmentation in Tensorflow

Detectron. FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

mx-maskrcnn. An MXNet implementation of Mask R-CNN

nocode. The best way to write secure and reliable applications. Write nothing; deploy nowhere.

PyTorch-progressive_growing_of_gans. PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

chinese-poetry. The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

LSGAN. Python

SoundSynth. Code for sound synthesis

deep-image-prior. Image restoration with neural networks but without learning.

models. Models and examples built with TensorFlow

tutorials. PyTorch tutorials.

examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

py-dbclasd. Python implementation of DBCLASD, a non-parametric clustering algorithm

FastMaskRCNN. Mask RCNN in TensorFlow

awesome-semantic-segmentation. :metal: awesome-semantic-segmentation

Generative-Adversarial-Networks. vanllia gan; conditional gan; dcgan; ebgan; lsgan; aae; Improved_gan

DeepTextSpotter. Python

text-detection-ctpn. text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

awesome-ocr. papers about ocr

sru. Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Awesome-GANs. Awesome Generative Adversarial Networks with tensorflow

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

the-gan-zoo. A list of all named GANs!

GAN-Timeline. A timeline showing the development of Generative Adversarial Networks (GAN).

Neural-Network-Programming-with-TensorFlow. Neural Network Programming with TensorFlow, published by Packt

reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction

Machine-Learning-Tutorials. machine learning and deep learning tutorials, articles and other resources

SENet. Squeeze-and-Excitation Networks

werkzeug. The comprehensive WSGI web application library.

EffectiveTensorflow. TensorFlow tutorials and best practices.

awesome-RecSys-papers. The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

really-awesome-gan. A list of papers on Generative Adversarial (Neural) Networks

protobuf. Protocol Buffers - Google's data interchange format

selectivesearch. Selective Search Implementation for Python

SynthText. Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

caffenet-benchmark. Evaluation of the CNN design choices performance on ImageNet-2012.

Symmetry_Text_Line_Detection. C++

nvidia-docker. Build and run Docker containers leveraging NVIDIA GPUs

docker.labs. This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

opencv. OpenCV projects: Face Recognition, Machine Learning, Colormaps, Local Binary Patterns, Examples...

poisson-image-editing. Poisson image editing for seamless cloning and other operations

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

mcg. Multiscale Combinatorial Grouping - Object Proposals and Segmentation

FCRN-DepthPrediction. Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

darkflow. Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

libsvm. LIBSVM -- A Library for Support Vector Machines

Scene-text-recognition. Scene text detection and recognition based on Extremal Region(ER)

image-text-localization-recognition. A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

MSER. the MSER for text detection

neuraltalk. NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

magenta. Magenta: Music and Art Generation with Machine Intelligence

go. The Go programming language

word2vec. This is a clone of an SVN repository at http://word2vec.googlecode.com/svn/trunk. It had been cloned by http://svn2github.com/ , but the service was since closed. Please read a closing note on my blog post: http://piotr.gabryjeluk.pl/blog:closing-svn2github . If you want to continue synchronizing this repo, look at https://github.com/gabrys/svn2github

word2vec. Python interface to Google word2vec

awesome-tensorflow. TensorFlow - A curated list of dedicated resources http://tensorflow.org

models. Models and examples built with TensorFlow

deeplearningbook-chinese. Deep Learning Book Chinese Translation

DeepHCCR. Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)

deep_ocr. make a better chinese character recognition OCR than tesseract

pyprobml. Python code for "Probabilistic Machine learning" book by Kevin Murphy

xgboost. https://github.com/dmlc/xgboost

MLaPP-solutions. Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective

Machine-Learning-A-Probabilistic-Perspective-Solutions. My solutions to Kevin Murphy Machine Learning Book

MLaPP. Solutions to exercises from Machine Learning: A Probabilistic Perspective by Kevin P. Murphy

reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

fastjson. FASTJSON 2.0.x has been released, faster and more secure, recommend you upgrade.

awesome-python. An opinionated list of Python frameworks, libraries, tools, and resources

Awesome-Hacking. A collection of various awesome lists for hackers, pentesters and security researchers

EQGRP_Lost_in_Translation. Decrypted content of odd.tar.xz.gpg, swift.tar.xz.gpg and windows.tar.xz.gpg

EQGRP. Decrypted content of eqgrp-auction-file.tar.xz

CoolplaySpark. 酷玩 Spark: Spark 源代码解析、Spark 类库等

spark-ml-source-analysis. spark ml 算法原理剖析以及具体的源码实现分析

awesome-pentest. A collection of awesome penetration testing resources, tools and other shiny things

data-science-at-the-command-line. Data Science at the Command Line

sysstat. Performance monitoring tools for Linux

pmtk3. Probabilistic Modeling Toolkit for Matlab/Octave.

scala. Scala 2 compiler and standard library. Scala 2 bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3

giter8. a command line tool to apply templates defined on GitHub

learning-spark. Example code from Learning Spark book

spark. Apache Spark - A unified analytics engine for large-scale data processing

tensorflow. An Open Source Machine Learning Framework for Everyone

redis-3.0-annotated. 带有详细注释的 Redis 3.0 代码（annotated Redis 3.0 source code）。

elasticsearch-rtf. elasticsearch中文发行版，针对中文集成了相关插件，方便新手学习测试.

farmhash. Automatically exported from code.google.com/p/farmhash

redis. Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes

redis-py. Redis Python client

gcc. C++

VsVim. Vim Emulator Plugin for Visual Studio 2015+

pyspider. A Powerful Spider(Web Crawler) System in Python.

phantomjs. Scriptable Headless Browser

OcrKing. Codes And Documents For OcrKing Api

scrapy. Scrapy, a fast high-level web crawling & scraping framework for Python.

tesseract. Tesseract Open Source OCR Engine (main repository)

fuck-login. 模拟登录一些知名的网站，为了方便爬取需要登录的网站

lxml. The lxml XML toolkit for Python

portia. Visual scraping for Scrapy

requests. A simple, yet elegant, HTTP library.

etlpy. a smart stream-like crawler & etl python library

python-scraping. Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

CAPTCHA-breaking. Python

cnki-downloader. 知网(CNKI)文献下载工具

CppCoreGuidelines. The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

FFmpeg. Mirror of https://git.ffmpeg.org/ffmpeg.git

vim. The official Vim repository

Theano-Tutorials. Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

pydata-book. Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

SparkInternals. Notes talking about the design and implementation of Apache Spark

awk. The AWK Programming Language (AWK 程序设计语言, awkbook) 中文翻译, LaTeX 排版

mxnet. Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

human-voice-dataset. Human Voice Wave Samples

CurvatureFilter. Curvature Filters are efficient solvers for Variational Models

Fundamentals-of-Deep-Learning-Book. Code companion to the O'Reilly "Fundamentals of Deep Learning" book

audiowaveform. C++ program to generate waveform data and render waveform images from audio files

scikit-learn. scikit-learn: machine learning in Python

deepnet. Implementation of some deep learning algorithms.

PRMLT. Matlab code of machine learning algorithms in book PRML

convnet. A GPU implementation of Convolutional Neural Nets in C++

deepdream.

torch7. http://torch.ch

opensse. Open Sketch Search Engine－ 3D object retrieval based on sketch image as input

conceptors. A Python implementation of Conceptors.

Lasagne. Lightweight library to build and train neural networks in Theano

SPP_net. SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

theano_exercises. Exercises for my tutorials on Theano

webcam-pulse-detector. A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.

cxxnet. move forward to https://github.com/dmlc/mxnet

ofxCv. Alternative approach to interfacing with OpenCv from openFrameworks.

DeepLearnToolbox. Matlab

purine2. Purified Purine.

autoencoders. Implementation of several different types of autoencoders

matconvnet. MatConvNet: CNNs for MATLAB

Theano. Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

caffe-android-demo. An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

ConvNet. Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial Training (AT) algorithms. Trained on GPU, require cuDNN v5.

code. Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

CUDA-CNN. CNN accelerated by cuda. Test on mnist and finilly get 99.76%

opencv. Open Source Computer Vision Library

rcnn. R-CNN: Regions with Convolutional Neural Network Features

caffe-tutorial. DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe

caffe. Caffe: a fast open framework for deep learning.

subsurface. This is the official upstream of the Subsurface divelog program

linux. Linux kernel source tree

nupic.core-legacy. Implementation of core NuPIC algorithms in C++ (under construction)

cudamat. Python module for performing basic dense linear algebra computations on the GPU using CUDA.

stanford_dl_ex. Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial