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pyinterp2

pyinterp2

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-center-loss

Pytorch implementation of Center Loss

pytorch-cnn-finetune

Fine-tune pretrained Convolutional Neural Networks with PyTorch

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-deeplab

DeepLab-ResNet rebuilt in Pytorch

pytorch-encoding

A CV Toolkit

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

pytorch-fpn

Feature Pyramid Networks in PyTorch

pytorch-image-retrieval

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).

pytorch-interp2d

Pytorch implement of interp 2d (Perform save as griddata in scipy)

pytorch-mask-x-rcnn

PyTorch implementation of the Mask-X-RCNN network proposed in the 'Learning to Segment Everything' paper by Facebook AI Research

pytorch-memory-utils

pytorch memory track code

pytorch-multi-class-focal-loss

An implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

pytorch-netvlad

Pytorch implementation of NetVlad including training on Pittsburgh.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

ransac-based-image-segmentation

This project uses a robust regression based approach for segmenting an image into background and foreground layers.

rbmpaper

experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"

really-awesome-gan

A list of papers on General Adversarial (Neural) Networks

recurring_bi-real_net

复现Bi-Real Net

refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

residual-learning-for-matconvnet

resnet-matconvnet

Train Deep Residual Network from Scratch or or Fine-tune Pre-trained Model using Matconvnet

resume

An elegant \LaTeX\ résumé template

retina-vesselnet

A DenseBlock-Unet for Retinal Blood Vessel Segmentation