Change Detection ReviewA review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
OpenunreidPyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.
LadderLadder network is a deep learning algorithm that combines supervised and unsupervised learning.
UnflowUnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
Unsupervised Video[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
Transmomo.pytorchThis is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
SpectralclusterPython re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Gan SandboxVanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
LkvolearnerLearning Depth from Monocular Videos using Direct Methods, CVPR 2018
GemsecThe TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
SimclrA PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
FleetxPaddle Distributed Training Extended. 飞桨分布式训练扩展包
PixelnetThe repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
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DraganA stable algorithm for GAN training
HomlrSupplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
DistanceganPytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
Hidden Two StreamCaffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
OpencogA framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
FactorvaePytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
SimclrSimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
DynamicsA Compositional Object-Based Approach to Learning Physical Dynamics
RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
CsmCode release for "Canonical Surface Mapping via Geometric Cycle Consistency"
Go Tsnet-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
GraphwavemachineA scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
StylisticpoetryCodes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)
Lr Gan.pytorchPytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
Flappy EsFlappy Bird AI using Evolution Strategies
Isolation ForestA Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
SplitbrainautoSplit-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
OneshottranslationPytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
ArflowThe official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
AndOfficial Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
E3d lstme3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
Deepco3[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
TybaltTraining and evaluating a variational autoencoder for pan-cancer gene expression data
GonGradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
3dpose ganThe authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
CleanlabThe standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.