405 Open source projects that are alternatives of or similar to Contrastive Predictive Coding Pytorch

Keras implementation of Representation Learning with Contrastive Predictive Coding

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

Unsupervised Representation Learning for Singing Voice Separation

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

Awesome Graph Self-Supervised Learning

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

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

PyTorch implementation of the CortexNet predictive model

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

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

Official adversarial mixup resynthesis repository

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

Python implementation of bag-of-concepts

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Machine Learning (EE 5184) in NTU

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

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

Implementation of VLAE

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

Proto-RL: Reinforcement Learning with Prototypical Representations

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

Ladder Variational Autoencoders (LVAE) in PyTorch

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

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

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

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

Experiments for understanding disentanglement in VAE latent representations

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

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

Deforming kernels to adapt towards object deformation. In ICLR 2020.

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

Deep learning using tensorflow

📍 Interactive Studio for Explanatory Model Analysis

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

A Compositional Object-Based Approach to Learning Physical Dynamics

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

VIP cheatsheets for Stanford's CS 229 Machine Learning

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Transformer for Graph Classification (Pytorch and Tensorflow)

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

A stable algorithm for GAN training

Latent space autoregression for novelty detection.

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

A curated list of network embedding techniques.

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

A curated list of pretrained sentence and word embedding models

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

How to do Unsupervised Clustering with Keras

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

[NeurIPS 2019] Spherical Text Embedding