Spijkervet / contrastive-predictive-codingLinks
PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)
☆85Updated 3 years ago
Alternatives and similar repositories for contrastive-predictive-coding
Users that are interested in contrastive-predictive-coding are comparing it to the libraries listed below
Sorting:
- Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information☆338Updated last year
- Contrastive Predictive Coding for Automatic Speaker Verification☆496Updated 5 years ago
- ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification☆73Updated last year
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆341Updated 4 years ago
- Deep Learning Model for Signal Data☆88Updated 5 years ago
- Multi-head attention in PyTorch☆153Updated 6 years ago
- PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA☆144Updated 3 years ago
- MADE:Masked-Autoencoder-for-Distribution-Estimation-using-PyTorch☆15Updated 4 years ago
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆82Updated 3 years ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆16Updated last year
- Official repository for "Orthogonal Projection Loss" (ICCV'21)☆125Updated 3 years ago
- PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)☆135Updated last year
- A minimal pytorch package implementing a gradient reversal layer.☆158Updated 8 months ago
- A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-pa…☆22Updated 4 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆210Updated 3 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆193Updated 3 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- Gradient Reversal Layer for Domain Adaptation☆121Updated 2 years ago
- implementation of semi-supervised VAE using pytorch☆11Updated 5 years ago
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆159Updated 6 years ago
- Multimodal Mixture-of-Experts VAE☆212Updated 2 years ago
- Mutual Information in Pytorch☆112Updated last year
- Code release for ICLR 2021 paper "Generalised Multimodal ELBO"☆40Updated 2 years ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆114Updated last year
- ☆42Updated 3 years ago
- Pytorch implementation of the paper, "Representation Learning with Contrastive Predictive Coding", or CPC, https://arxiv.org/pdf/1807.037…☆10Updated 3 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆51Updated 2 years ago
- Implementation of dynamic temporal pooling (DTP) for time series classification☆39Updated 3 years ago
- An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.☆40Updated 2 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆55Updated last year