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100-days-of-ml-code

100-Days-Of-ML-Code中文版

102flower-training

机器学习练习，使用SVM、随机森林、Adaboost算法训练 102 flower 训练集 得到特征提取

111

aistudio_steel-inspection-challenge

飞桨新人赛：钢铁缺陷检测挑战赛-第6名方案

benchmark_results

visual tracker benchmark results

c-

caffe

Caffe: a fast open framework for deep learning.

conv-kcf

利用卷积特征和KCF算法实现对目标的跟踪

cpp-templates-2nd--

《C++ Templates 第二版》中文翻译，和原书排版一致，第一部分（1至11章）以及第18，19，20，21、22、23、24、25章已完成，其余内容逐步更新中。 个人爱好，发现错误请指正

cpptemplatetutorial

中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

dcgan_wgan_wgan-gp_lsgan_sngan_rsgan_began_acgan_pggan_tensorflow

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deep-learning-from-scratch

深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》

designpattern

Design pattern demo code

gcn-anomaly-detection

Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

gitignore

A collection of useful .gitignore templates

gitskills

hello-world

imdn

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, ICCVW AIM 2019)

introduce_c-cpp_manual

一个收集C/C++新手学习的入门项目，整理收纳开发者开源的小项目、工具、框架、游戏等，视频，书籍，面试题/算法题，技术文章。

ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)

kcfdp

"Kernelized Correlation Filter with Detection Proposal" presented in "Enable Scale and Aspect Ratio Adaptability in Visual Tracking with Detection Proposals", BMVC, 2015.

learngit

learngit2

lean how to connect to gitHub

lihang-code

《统计学习方法》的代码实现

lstm-and-arima-models-for-stock-forecasting

A hybrid forecasting model combining LSTM for sequence prediction and ARIMA for error correction. This repo demonstrates improved accuracy in financial trend prediction, showcasing training processes, error analysis, and performance metrics.

marllib

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

memnet

Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform