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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

benchmarking-gnns

Repository for benchmarking graph neural networks

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

cvpr2020-code

CVPR 2020 论文开源项目合集

daily-bonus

签到脚本✅ master 分支：bilibili 直播、v2ex、网易云音乐、百合会论坛。dev 分支：acfun、bilibili、csdn、v2ex、百度贴吧、网易云音乐、哔咔漫画、百合会论坛、最终幻想14。

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）

deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

deeplearning_lhy21_notes

深度学习 李宏毅 2021 学习笔记

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dplayer

:lollipop: Wow, such a lovely HTML5 danmaku video player

gnnpapers

Must-read papers on graph neural networks (GNN)

how_attentive_are_gats

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

ipnv2_pytorch

This is an pytorch implementation of "IPN-V2 and OCTA-500: Methodology and Database for Retinal Image Segmentation".

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

livervesselsegmentmrf

denois, feature map extract and segment by MRF method

markdown-plus-plus

Markdown syntax highlighting for Notepad++, by customized UDL file (user defined language)

mask-rcnn

A PyTorch implementation of the architecture of Mask RCNN

modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

nnunet

owod

(CVPR 2021 Oral) Open World Object Detection

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch_geometric

Graph Neural Network Library for PyTorch

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.