Beast code in Giters

LittleSheepy's starred repositories

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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data-juicer

A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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Awesome-Pruning

A curated list of neural network pruning resources.

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AI-Job-Notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

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CVPR2024-Paper-Code-Interpretation

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

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MachineVisionLib

The project is a machine vision library that combines OpenCV and Caffe. In the future, DL libraries such as theano and tensorflow may be added. The main purpose of this project is to learn these libraries for myself, and to provide API packages that are more convenient for them in the future.

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Yolact_minimal

Minimal PyTorch implementation of YOLACT.

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darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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Sprites_DSA

《Disentangled Sequential Autoencoder》论文上Sprites例子的实现

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tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

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TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

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tensorflow-yolov3

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

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Mask_RCNN

Mask R-CNN on Keras and TensorFlow，个人注释版

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RCNN

The Tensorflow with tflearn implementation of the RCNN model.

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ESL-CN

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

Language:Jupyter NotebookGPL-3.0239700

PRML

PRML algorithms implemented in Python

Language:Jupyter NotebookMIT1135300

Machine-Learning

机器学习原理

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httpbin

HTTP Request & Response Service, written in Python + Flask.

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image-processing-from-scratch

This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.

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pyhanlp

中文分词

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Machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

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SMS_Bomber

短信轰炸机，可以给定多个手机号，疯狂发送验证码。This is a short message bomber.

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vnpy

基于Python的开源量化交易平台开发框架

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100_numpy_exercises

100 numpy exercises

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numpy-100

100 numpy exercises (with solutions)

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GBDT_Simple_Tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

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GBDT

A simple GBDT in Python

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