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Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"
Mercury: easily convert Python notebook to web app and share with others
code for Mesh R-CNN, an academic publication, presented at ICCV 2019
OpenMMLab Detection Toolbox and Benchmark
Models and examples built with TensorFlow
Code samples for the ML Crash Course learning path.
A Tensorflow implementation of "Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios"
in this work we will explore some useful optimizers, (keras, tensorflow and tensorflow addons)
A treasure chest for image classification powered by PaddlePaddle
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral)
Projects ideas for software engineering students
R-FCN with joint training and python support
Codebase for Image Classification Research, written in PyTorch.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Semantic Segmentation Architectures Implemented in PyTorch
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
2D and 3D UNet implementation in PyTorch.
R-FCN: Object Detection via Region-based Fully Convolutional Networks
The dataset is used to train my own raccoon detector and I blogged about it on Medium
Not Totally Accurate [RegNet: Multimodal Sensor Registration Using Deep Neural Networks] PyTorch Implementation
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
This is repository to maintain all solutions of Reinforcement learning course on coursera by University of Alberta and Alberta Machine Learning Institute.
Pytorch implementation of the Double-Step Framework to perform wildfires severity estimation from Sentinel-2 satellite images
ResNeSt: Split-Attention Networks
RFCN implementation in TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.