qingtangding Goto Github PK

a2n

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"

ai-research-tools

:hammer:AI 方向好用的科研工具

ai_learn

ai_learning

awesome-awesome-machine-learning

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

awesome-cvpr2024-aigc

A Collection of Papers and Codes for CVPR2024 AIGC

awesome-cvpr2024-cvpr2021-cvpr2020-low-level-vision

A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision

awesome-dehazing

A curated list of awesome dehazing papers

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-low-level-vision-research-groups

A Collection of Low Level Vision Research Groups

awesome-segment-anything

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

awesome-super-resolution

Collect super-resolution related papers, data, repositories

cnn-pytorch

cs231n-numpy-tutorial

IPython notebook for cs231n python numpy tutorial

dan

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

dataset-distillation

Dataset Distillation

dcsr

Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-1

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

deeplizard-pytorch-

自己总结的DeepLizard的pytorch神经网络编程系列视频的笔记(非官方)

deepvision

在我很多项目中用到的CV算法推理框架应用。

densenet-stn_keras

Simple demo of DenseNet with Spatial Transformer Network, trained on cifar-10

face_recognition

The world's simplest facial recognition api for Python and the command line

femasr

PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)

glean

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.