433 Open source projects that are alternatives of or similar to VQ-APC

Awesome Graph Self-Supervised Learning

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

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

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

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

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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

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

Neural Relation Understanding: neural cardinality estimators for tabular data

Unsupervised Representation Learning for Singing Voice Separation

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

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

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

Implementation of VLAE

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

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

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

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

Ladder Variational Autoencoders (LVAE) in PyTorch

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

Whitening for Self-Supervised Representation Learning | Official repository

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

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

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

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

Contrastive Predictive Coding for Automatic Speaker Verification

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

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

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

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

Python implementation of bag-of-concepts

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

Official code for "Mean Shift for Self-Supervised Learning"

Proto-RL: Reinforcement Learning with Prototypical Representations

Official adversarial mixup resynthesis repository

Experiments for understanding disentanglement in VAE latent representations

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

official implemntation for "Contrastive Learning with Stronger Augmentations"

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain.

Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

An unsupervised Chinese word segmentation tool.

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Main component extraction for outlier detection

Representation learning for link prediction within social networks

Experiments on unsupervised point cloud reconstruction.

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

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

Poincaré Embedding (unofficial)