430 Open source projects that are alternatives of or similar to Pointglr

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Implementation of VLAE

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

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

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

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

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

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Experiments for understanding disentanglement in VAE latent representations

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

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Contrastive Predictive Coding for Automatic Speaker Verification

Unsupervised Representation Learning for Singing Voice Separation

Python implementation of bag-of-concepts

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Ladder Variational Autoencoders (LVAE) in PyTorch

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

Awesome Graph Self-Supervised Learning

Proto-RL: Reinforcement Learning with Prototypical Representations

Official adversarial mixup resynthesis repository

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

Keras implementation of Representation Learning with Contrastive Predictive Coding

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

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

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Unsupervised Learning for Image Registration

PHP-ML - Machine Learning library for PHP

PyTorch Blog Post On Image Similarity Search

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

representation learning on attributed graphs

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Compressing Representations for Self-Supervised Learning

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Self-Supervised Learning Toolbox and Benchmark

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Open source person re-identification library in python

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

A word2vec port for Windows.

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

Unsupervised learning of atomic scale dynamics from molecular dynamics.

Code for unsupervised aspect extraction, using Keras and its Backends

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

IVA: Independent Vector Analysis implementation

📈 Regression and Classification with UC Davis student quiz data and exam data

code for unsupervised learning Neural Hidden Markov Models paper

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Gradients as Features for Deep Representation Learning

ICE: Item Concept Embedding

A package for Multiple Kernel Learning in Python

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)