369 Open source projects that are alternatives of or similar to Autoregressive Predictive Coding

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

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

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

Unsupervised Representation Learning for Singing Voice Separation

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

Implementation of VLAE

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

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Awesome Graph Self-Supervised Learning

Proto-RL: Reinforcement Learning with Prototypical Representations

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

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

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

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

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

Contrastive Predictive Coding for Automatic Speaker Verification

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

Keras implementation of Representation Learning with Contrastive Predictive Coding

Python implementation of bag-of-concepts

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

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

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

Official adversarial mixup resynthesis repository

Experiments for understanding disentanglement in VAE latent representations

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

Ladder Variational Autoencoders (LVAE) in PyTorch

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

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

Datasets, tools, and benchmarks for representation learning of code.

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

Semantic Entity Retrieval Toolkit

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

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

Explore high-dimensional datasets and how your algo handles specific regions.

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Multi-object image datasets with ground-truth segmentation masks and generative factors.

Python Framework for Extractive Text Summarization

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Convolutional Autoencoder for Loop Closure

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

ConMask model described in paper Open-world Knowledge Graph Completion.

ICE: Item Concept Embedding

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

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!

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

Self-Supervised Learning Toolbox and Benchmark

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

A package for Multiple Kernel Learning in Python

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

PyTorch Blog Post On Image Similarity Search

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"