AmberSWW's repositories
TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
awesome-federated-learning-1
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
FLAML
A fast and lightweight AutoML library.
JigenDG
Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"
awesome-federated-learning
resources about federated learning and privacy in machine learning
bank_interview
:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
tsgan
Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))
CoUDA
This project provides the source code for “Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis (IEEE TIP 2020)”.
GPy
Gaussian processes framework in python
federated-learning-1
Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习
DeepHit
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
GCnet-pytorch
This is a pytorch type of block，including Non-local block，Simple Non-local block，GC block and all GC block; refer to paper《GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond》
semantic-segmentation-pytorch
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
recurrent-decoding-cell
[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)
COVID-CT
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Medical-Cross-Modality-Domain-Adaptation
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)
c-GPLVM
PyTorch implementation of the Covariate-GPLVM
MDDA
Implementation of paper multi-source distilling domain adaptation
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
DeepPATH
Classification of Lung cancer slide images using deep-learning
FATE
An Industrial Level Federated Learning Framework
Deep-Co-Training-for-Semi-Supervised-Image-Recognition
Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'
federated-learning
Federated Learning - PyTorch
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly
MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
PyTorch-CycleGAN
A clean and readable Pytorch implementation of CycleGAN
PySyft
A library for encrypted, privacy preserving deep learning