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medical-transformer

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

mercury

Mercury: easily convert Python notebook to web app and share with others

meshrcnn

code for Mesh R-CNN, an academic publication, presented at ICCV 2019

mmdetection

OpenMMLab Detection Toolbox and Benchmark

model_search

models

Models and examples built with TensorFlow

ms-learn-ml-crash-course-python

Code samples for the ML Crash Course learning path.

nextvit-tf

A Tensorflow implementation of "Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios"

optimizers

in this work we will explore some useful optimizers, (keras, tensorflow and tensorflow addons)

paddleclas

A treasure chest for image classification powered by PaddlePaddle

pixellib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

pranet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral)

projects-ideas-for-students

Projects ideas for software engineering students

py-r-fcn

R-FCN with joint training and python support

pycls

Codebase for Image Classification Research, written in PyTorch.

pytorch-2d-3d-unet-tutorial

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

pytorch-unet

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

pytorch-unet-1

2D and 3D UNet implementation in PyTorch.

pytorch_rfcn

r-fcn

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

raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

regnet

Not Totally Accurate [RegNet: Multimodal Sensor Registration Using Deep Neural Networks] PyTorch Implementation

regnet-1

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

reinforcement-learning-coursera-solutions

This is repository to maintain all solutions of Reinforcement learning course on coursera by University of Alberta and Alberta Machine Learning Institute.

rescue

Pytorch implementation of the Double-Step Framework to perform wildfires severity estimation from Sentinel-2 satellite images

resnest

ResNeSt: Split-Attention Networks

rfcn-tensorflow

RFCN implementation in TensorFlow