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torchgpipe

A GPipe implementation in PyTorch

torchray

Understanding Deep Networks via Extremal Perturbations and Smooth Masks

totalsegmentator

Tool for robust segmentation of 104 important anatomical structures in CT images

tracktolearn

Public release of Track-to-Learn: A general framework for tractography with deep reinforcement learning

training-tricks-for-binarized-neural-networks

The collection of training tricks of binarized neural networks.

transfer-learning-library

Transfer Learning Library for Domain Adaptation and Finetune.

transformer_for_medical_image_analysis

A collection of papers about Transformer in the field of medical image analysis.

trgp

[ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"

truncatedsvdupdates

Projection techniques to update the truncated SVD of evolving matrices with applications

trustscore

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

tutorial-docker-automated-builds

Tutorial on Docker automated builds. You can find the original article is in our Medium blog https://medium.com/pharos-production/set-up-automated-builds-using-github-and-docker-hub-12c3e0f18eba . https://pharosproduction.com

u-net-fixed-point-quantization-for-medical-image-segmentation

Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019

ucd

The offical Pytorch code for "Uncertainty-aware Contrastive Distillation\\for Incremental Semantic Segmentation"

ucl

The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)

ucl-1

Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)

ufdn

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

ultrasound-nerve-segmentation

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

unet

unet for image segmentation

unet-family

Paper and pytorch Implement of UNet-related model.

unet-tensorflow-keras

A concise code for training and evaluating Unet using tensorflow+keras

unir

Unsupervised Adversarial Image Reconstruction (UNIR)

univgnn

Code for the paper "Universal Invariant and Equivariant Graph Neural Networks" (NeurIPS 2019)

unsuperviseddeeplearning-pytorch

This repository tries to provide unsupervised deep learning models with Pytorch

ustc-cs-courses-resource

:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

uvc

Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)

vadam

Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

vagan-code

Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'

variational-continual-learning

An implementation of Variational Continual Learning (Nguyen et al., 2018) for the Advanced Machine Learning reproducibility challenge (University of Oxford)

vc-bml

vdnet

Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)