JiajieMo

v2ray-agent

Xray、Tuic、hysteria2、sing-box 八合一一键脚本

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

thefuck

Magnificent app which corrects your previous console command.

iPERCore

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

evocnn

codes for the paper of "Evolving Deep Convolutional Neural Networks for Image Classification" published by TEVC

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

Interstellar

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.

aim

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

SA-UNet

The open source code of SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.

IterNet

IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. High-accuracy medical retina (eye) image segmentation.

M2U-Net

VGN

Deep Vessel Segmentation by Learning Graphical Connectivity

lwnet

State-of-the-art retinal vessel segmentation with minimalistic models

lime

Lime: Explaining the predictions of any machine learning classifier

pytorch_geometric

Graph Neural Network Library for PyTorch

GNNPapers

Must-read papers on graph neural networks (GNN)

Hierarchical-Image-Matting-Model-for-Blood-Vessel-Segmentation-in-Fundus-images

This is a python implementation of Hierarchical Image Matting Model for Segmentation.

FGVC

[ECCV 2020] Flow-edge Guided Video Completion

VesselSegmentation_ESWA

Support repository for the paper "Retinal vessel segmentation based on Fully Convolutional Neural Networks", Expert Systems with Applications, Volume 112, 1 December 2018, Pages 229-242.

awesome-AI-books

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

captum

Model interpretability and understanding for PyTorch

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

torchstat

Model analyzer in PyTorch

pytorch_model_summary

pytorch model summary, statistic parameters number, memory usage, FLOPs and so on

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

HistoryObjectRecognition

kornia

Geometric Computer Vision Library for Spatial AI

torchscope

Model Scope in PyTorch (include Params, FLOPs, Madds).