Stars
Research Framework for easy and efficient training of GANs based on Pytorch
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
PANet for Instance Segmentation and Object Detection
Unofficial PyTorch implementation of Google AI's VoiceFilter system
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
Fast & Simple Resource-Constrained Learning of Deep Network Structure
A fast and differentiable model predictive control (MPC) solver for PyTorch.
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Learning to Cluster Faces (CVPR 2019, CVPR 2020)
[CVPR 2019]: Pluralistic Image Completion
torchbearer: A model fitting library for PyTorch
A MXNet Implementation for Drop an Octave
pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported
Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
PyTorch implementation of "SlowFast Networks for Video Recognition".
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)
This project is a tool to build CheXNet-like models, written in Keras.
@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation
The code and models for paper: "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch"
Code for Unsupervised Image Captioning
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Supplementary material for systematic literature review on deep learning and EEG.
Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora