TanmDL

ALOCC-CVPR2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

cheatsheets

Official Matplotlib cheat sheets

CMU-MultimodalSDK

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

Data-Free-Adversarial-Distillation

Code and pretrained models for paper: Data-Free Adversarial Distillation

DCCM

Deep Comprehensive Correlation Mining

DDRE_Sampling_GANs

Codes for the experiments in "Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss"

DRN

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

E3Outlier

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network

eICU-LoS-prediction

This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit.

eICU_Benchmark

FD-GAN-1

FD-GAN: Generative adversarial Networks with Fusion-discriminator for Single Image Dehazing(AAAI'20)

GAIN

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

kaggler-tv-schedule

Kaggler TV

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

M-ADA

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

nmsu_yhao_ijcai2020

This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huiping Cao, which has been accepted to be published in IJCAI 2020.

nnPUlearning

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

PICA

Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

pytorch_deephash

Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015

pytorch_ema

Tiny PyTorch library for maintaining a moving average of a collection of parameters.

QAGANS

Quality Aware Generative Adversarial Networks

qd-coegan

Code used in the experiments of the paper Exploring the Evolution of GANs through Quality Diversity https://gecco-2020.sigevo.org/

Revisiting_Deep_Metric_Learning_PyTorch

This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in this field.

self-conditioned-gan

Diverse Image Generation via Self-Conditioned GANs

self-paced-rl

Implementation of the Self Paced Reinforcement Learning Experiments

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

TDGAN-PyTorch

Temporary Discriminator GAN

tsgan

Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))