文刀 (4Statistics)

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文刀's starred repositories

awesome-computer-vision

A curated list of awesome computer vision resources

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

Language:PythonLicense:MITStargazers:15911Issues:224Issues:156

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Language:PythonLicense:Apache-2.0Stargazers:4538Issues:102Issues:216

awesome-Face_Recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

Deep-Learning-with-PyTorch-Tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

An-Introduction-to-Statistical-Learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Language:Jupyter NotebookStargazers:2308Issues:69Issues:3

Single-Image-Super-Resolution

A collection of high-impact and state-of-the-art SR methods

CDCS

Chinese Data Competitions' Solutions

Language:PythonLicense:MITStargazers:1783Issues:93Issues:4

MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers

image-to-image-papers

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

SRFlow

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:825Issues:70Issues:41

Gradient-Centralization

A New Optimization Technique for Deep Neural Networks

pytorch-SRResNet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

Language:PythonLicense:MITStargazers:472Issues:20Issues:32

Pytorch-Human-Pose-Estimation

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Language:PythonLicense:MITStargazers:469Issues:23Issues:29

Attention-PyTorch

注意力机制实践

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:364Issues:12Issues:2

PyTorch-SRGAN

A modern PyTorch implementation of SRGAN

Language:PythonLicense:GPL-3.0Stargazers:359Issues:9Issues:17

Super_Resolution_with_CNNs_and_GANs

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

Language:Jupyter NotebookStargazers:268Issues:7Issues:11

hourglass-facekeypoints-detection

face keypoints deteciton based on stackedhourglass

Solutions-to-Machine-Learning-A-Probabilistic-Perspective-

Solutions to "Machine Learning: A Probabilistic Perspective"

Language:TeXStargazers:148Issues:6Issues:0

keita

My personal toolkit for PyTorch development.

book-code

《深度学习之PyTorch实战计算机视觉》全书代码

Language:Jupyter NotebookStargazers:126Issues:4Issues:10

jupyter_ml4se

Jupyter notebooks for sample scripts from 「ITエンジニアのための機械学習理論入門」

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:69Issues:4Issues:0

recurrent-face-alignment

Xi Peng et al. "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", ECCV 2016. (Oral)

Residual-Networks-with-Dense-Block

ResNets with Dense Block

Language:PythonStargazers:5Issues:0Issues:0
Language:Jupyter NotebookLicense:MITStargazers:5Issues:2Issues:0

HCRF

Hierarchical CNN based Random Forests (HCRF) approach for face super-resolution.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:3Issues:2Issues:0

Single-Image-Super-Resolution

A collection of high-impact and state-of-the-art SR methods

Lihang

Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]

Language:PythonStargazers:1Issues:1Issues:0