261 Open source projects that are alternatives of or similar to Corex

A simple Music Recommendation System

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

Find nodes in hierarchical clustering that are statistically significant

Machine Learning Course @ Santa Clara University

Vectorized Machine Learning in Python 🐍 From Scratch

Deep-learning approaches to object recognition from 3D data

Implementation of linear CorEx and temporal CorEx.

BERT, LDA, and TFIDF based keyword extraction in Python

Proto-RL: Reinforcement Learning with Prototypical Representations

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

(ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

Tensorflow Implementation on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

SPEAR: Programmatically label and build training data quickly.

Unsupervised Controllable Text Generation (Applied to text Formalization)

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Chainer implementation of deep-INFOMAX

DBSCAN Clustering Algorithm C# Implementation

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

Unsupervised Representation Learning for Singing Voice Separation

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

A comprehensive list of awesome contrastive self-supervised learning papers.

ML algorithm for real-time classification

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

Machine Learning (EE 5184) in NTU

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Ladder Variational Autoencoders (LVAE) in PyTorch

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

TCyb 2018: Graph learning for multiview clustering

ADENINE: A Data ExploratioN PipelINE

High performance unsupervised text tokenization for Ruby

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

Self-Supervised depth kalilia

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

IMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

Model for learning document embeddings along with their uncertainties

Simplified version of "State Representation Learning for Control: An Overview" bibliography

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

DDC-Outlier: Preventing medication errors using unsupervised learning

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

Learning to Cluster. A deep clustering strategy.

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Assessing Source Code Semantic Similarity with Unsupervised Learning

The Partitioning Around Medoids (PAM) implementation of the K-Medoids algorithm in Python [Unmaintained]

Mining Discourse Markers for Unsupervised Sentence Representation Learning