dscilab Goto Github PK

avuc

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

bert-pytorch

Google AI 2018 BERT pytorch implementation

biva-pytorch

Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

blank_language_model

Blank Language Models

cfg

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

cnn-debugger

cvutils

dpmm

Dirichlet Process Mixture Models

dscilab.github.io

eye_datasets

fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images

gan-lab

gp-lab

gpml

An up-to-date version of GPML library.

ifsl

[NeurIPS 2020] Released code for Interventional Few-Shot Learning

infolab

juno

long-tailed-recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

ml-analytics

Data Analytics for Machine Learning

mlutils

nature_datasets

numcu

nvae

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

paper-plot

pyshiny

rcnn_utils

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

sslab