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Top 262 unsupervised-learning open source projects

Sfmlearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Calc
Convolutional Autoencoder for Loop Closure
Bio corex
A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
Moco
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
Paysage
Unsupervised learning and generative models in python/pytorch.
Unsupervised Depth Completion Visual Inertial Odometry
Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
Diff2vec
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Self Supervised Speech Recognition
speech to text with self-supervised learning based on wav2vec 2.0 framework
Back2future.pytorch
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
Ddflow
DDFlow: Learning Optical Flow with Unlabeled Data Distillation
Vizuka
Explore high-dimensional datasets and how your algo handles specific regions.
Awesome Transfer Learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Self Supervised Relational Reasoning
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Pysad
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Pointglr
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Grounder
Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow
Openselfsup
Self-Supervised Learning Toolbox and Benchmark
Mug
Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)
Image similarity
PyTorch Blog Post On Image Similarity Search
Marta Gan
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Attention Based Aspect Extraction
Code for unsupervised aspect extraction, using Keras and its Backends
Karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Self Supervised Learning Overview
📜 Self-Supervised Learning from Images: Up-to-date reading list.
Insta Dm
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
Sine
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Neuralhmm
code for unsupervised learning Neural Hidden Markov Models paper
Dmgi
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
Weakly Supervised 3d Object Detection
Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020
Dgi
TensorFlow implementation of Deep Graph Infomax
Rakun
Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation
Lir For Unsupervised Ir
This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"
Voxelmorph
Unsupervised Learning for Image Registration
Tadw
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Susi
SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
Iva
IVA: Independent Vector Analysis implementation
Discogan Pytorch
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Domain Transfer Network
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
Summary loop
Codebase for the Summary Loop paper at ACL2020
Unsup3d
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Minisom
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Simclr
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Alibi Detect
Algorithms for outlier and adversarial instance detection, concept drift and metrics.
Graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Unsupervised Classification
SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.
Athena
an open-source implementation of sequence-to-sequence based speech processing engine
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