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Top 262 unsupervised-learning open source projects

Lemniscate.pytorch
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Hidt
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Sc Sfmlearner Release
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)
Corex topic
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Enlightengan
[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
Lifting From The Deep Release
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
Awesome Vaes
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Contrastive Predictive Coding
Keras implementation of Representation Learning with Contrastive Predictive Coding
Recycle Gan
Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)
Cc
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Mmt
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Paragraph Vectors
📄 A PyTorch implementation of Paragraph Vectors (doc2vec).
Mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Beta Vae
Pytorch implementation of β-VAE
Dgi
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
Selflow
SelFlow: Self-Supervised Learning of Optical Flow
Chinese Ufldl Tutorial
[UNMAINTAINED] 非监督特征学习与深度学习中文教程,该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程,该门课程在网易云课堂上也有一个配有中文字幕的版本。
Simclr
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Pytorch Vsumm Reinforce
AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)
Sealion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Speechsplit
Unsupervised Speech Decomposition Via Triple Information Bottleneck
Corex
CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.
UEGAN
[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
adareg-monodispnet
Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)
altair
Assessing Source Code Semantic Similarity with Unsupervised Learning
back2future
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
srVAE
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
PiCIE
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)
PIC
Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020
kmedoids
The Partitioning Around Medoids (PAM) implementation of the K-Medoids algorithm in Python [Unmaintained]
Similarity-Adaptive-Deep-Hashing
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)
dti-sprites
(ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper
Unsupervised-Learning-in-R
Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
uctf
Unsupervised Controllable Text Generation (Applied to text Formalization)
treecut
Find nodes in hierarchical clustering that are statistically significant
al-fk-self-supervision
Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
deep-INFOMAX
Chainer implementation of deep-INFOMAX
BaySMM
Model for learning document embeddings along with their uncertainties
dads
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
KD3A
Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
121-180 of 262 unsupervised-learning projects