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unsupervised-learning x

702 search results found

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Variational Ladder Autoencoder ⭐ 198

Implementation of VLAE

Lkvolearner ⭐ 197

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

Spectral Clustering With Graph Neural Networks For Graph Pooling ⭐ 196

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

Gap_statistic ⭐ 193

Dynamically get the suggested clusters in the data for unsupervised learning.

Deepmapping ⭐ 191

[CVPR2019 Oral] Self-supervised Point Cloud Map Estimation

Stylisticpoetry ⭐ 189

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

Pixelnet ⭐ 188

The 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/>.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Novelty Detection ⭐ 183

Latent space autoregression for novelty detection.

A stable algorithm for GAN training

Crosspoint ⭐ 179

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Distancegan ⭐ 174

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

Recursive Cascaded Networks ⭐ 172

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

Graphwavemachine ⭐ 171

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Clustering_algorithms_from_scratch ⭐ 170

Implementing Clustering Algorithms from scratch in MATLAB and Python

Go Tsne ⭐ 169

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

Hidden Two Stream ⭐ 168

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Unsupervised Depth Completion Visual Inertial Odometry ⭐ 168

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

Keras_deep_clustering ⭐ 168

How to do Unsupervised Clustering with Keras

Tensorflowprojects ⭐ 164

Deep learning using tensorflow

E3d_lstm ⭐ 158

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

The AugNet Python module contains functions for the fast computation of image similarity.

Image_similarity ⭐ 156

PyTorch Blog Post On Image Similarity Search

Numalogic ⭐ 156

Collection of operational time series ML models and tools

Unsupervisedpointcloudreconstruction ⭐ 154

Experiments on unsupervised point cloud reconstruction.

Self Supervised Learning Overview ⭐ 151

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

Lr Gan.pytorch ⭐ 145

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

Factorvae ⭐ 144

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Dynamics ⭐ 144

A Compositional Object-Based Approach to Learning Physical Dynamics

Contrad ⭐ 142

Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

Mlm Pytorch ⭐ 141

An implementation of masked language modeling for Pytorch, made as concise and simple as possible

Flappy Es ⭐ 140

Flappy Bird AI using Evolution Strategies

Input Output Hidden Markov Model (IOHMM) in Python

Vae Lstm For Anomaly Detection ⭐ 128

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

Splitbrainauto ⭐ 128

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.

Oneshottranslation ⭐ 126

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Language Models Can See: Plugging Visual Controls in Text Generation

Indoor Sfmlearner ⭐ 124

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

Unsupervised_anomaly_detection_brain_mri ⭐ 123

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.

Spherical Text Embedding ⭐ 121

[NeurIPS 2019] Spherical Text Embedding

Awesome Unsupervised Person Re Identification ⭐ 121

Awesome-Unsupervised-Person-Re-identification

Dense Ulearn Vos ⭐ 121

Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Denoisingautoencoder ⭐ 117

Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Bio_corex ⭐ 116

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

Diff2vec ⭐ 116

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

Efficient Vdvae ⭐ 115

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

Deepco3 ⭐ 114

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Differentiable Point Clouds ⭐ 114

The reference implementation of "Unsupervised Learning of Shape and Pose with Differentiable Point Clouds"

Unicorn ⭐ 114

(ECCV 2022) Official code of Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Unsupervised Data Augmentation ⭐ 110

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Contrastive Predictive Coding Pytorch ⭐ 109

Contrastive Predictive Coding for Automatic Speaker Verification

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Style Aware Discriminator ⭐ 107

CVPR 2022 - Official PyTorch implementation of "A Style-Aware Discriminator for Controllable Image Translation"

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

[TIP-2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Rc Mvsnet ⭐ 103

[ECCV 2022] RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering

SPEAR: Programmatically label and build training data quickly.

Predict Cluster ⭐ 102

Repository for PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition

An extensive machine learning library, made from scratch (Python).

Text Summarizer ⭐ 101

Python Framework for Extractive Text Summarization

Labelpropagation ⭐ 101

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Explore high-dimensional datasets and how your algo handles specific regions.

3d_url_survey ⭐ 100

(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

Unsupervised learning and generative models in python/pytorch.

Conditional Motion Propagation ⭐ 99

Code for our CVPR 2019 work.

Back2future.pytorch ⭐ 98

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Volumetricprimitives ⭐ 98

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair

Code for unsupervised learning of object landmarks as proposed in "Unsupervised Learning of Object Landmarks through Conditional Image Generation", Tomas Jakab*, Ankush Gupta*, Hakan Bilen, Andrea Vedaldi, Advances in Neural Information Processing Systems (NeurIPS) 2018.

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

Pytorch Byol ⭐ 94

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Python Machine Learning Book 3rd Edition ⭐ 93

<머신 러닝 교과서 3판>의 코드 저장소

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Tigerlily ⭐ 90

TigerLily: Finding drug interactions in silico with the Graph.

Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Autoregressive Predictive Coding ⭐ 87

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

A JavaScript Library for Dimensionality Reduction

Scdeepcluster ⭐ 86

scDeepCluster for Single Cell RNA-seq data

Weakly Supervised 3d Object Detection ⭐ 85

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

PyTorch code for MUST

Fast and explainable clustering in Python

Noise As Targets ⭐ 84

Unsupervised Learning by Predicting Noise

Student Teacher Anomaly Detection ⭐ 83

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Concrete Autoencoders ⭐ 83

Sutton Barto Rl Exercises ⭐ 83

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Maskdistill ⭐ 82

Discovering Object Masks for Unsupervised Semantic Segmentation [2022]

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