Beast code in Giters

chwlsunny's starred repositories

Machine-Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Language:Python884700

KuwoMusicApi

KuwoMusicApi 是一个通过传入参数可以直接获取某首歌曲的 URL 的 API，适用于网易云解灰等项目。

Language:JavaScriptGPL-3.0900

xmly-downloader

喜马拉雅 Downloader

Language:PythonBSD-3-Clause200

MediaCrawler

小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频｜评论爬虫、微博帖子｜评论爬虫、百度贴吧帖子｜百度贴吧评论回复爬虫

Language:PythonNOASSERTION1587100

learning-cuda-trt

A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt

MIT9900

KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

Language:PythonMIT284600

CiaoSR

PyTorch implementation of "CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution (CVPR2023)"

Language:PythonNOASSERTION11200

One-2-3-45

[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

Language:PythonApache-2.0152500

siamfc-pytorch

A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

Language:PythonMIT61200

Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Language:PythonBSD-3-Clause2737300

HSENet

Hybrid-Scale Self-Similarity Exploitation for Remote Sensing Image Super-Resolution (accepted by TGRS)

Language:Python3900

TransENet

Transformer-based Multi-Stage Enhancement for Remote Sensing Image Super-Resolution (accepted by TGRS)

Language:Python3200

SRCNN-pytorch

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

Language:Python51100

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Language:PythonApache-2.0659200

AirSim-Drone-Racing-VAE-Imitation

Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993

Language:PythonMIT19500