CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion

PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)

Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"

[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"

Predictive Coding for Locally-Linear Control (ICML-2020)

Temporal Predictive Coding For Model-Based Planning In Latent Space (ICML-2021)

Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction

Pytorch implementation of the paper, "Representation Learning with Contrastive Predictive Coding", or CPC, https://arxiv.org/pdf/1807.03748.pdf

Fancy Font Flipping is a demo I first put up in CodePen to illustrate the issues with flipping the text color from black to white based on a given estimated background luminance.

CPC-big and k-means clustering for zero-resource speech processing

Context Aware Predictive Coding (CAPC)

Representation Learning with Contrastive Predictive Learning

Code, logs, and final models for SIGSPATIAL SpatialEpi '22: Spatiotemporal Disease Case Prediction using Contrastive Predictive Coding.

Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding

Contrastive Predictive Coding applied to raw audio music data.

Pytorch implementation of the NLP experiment described in the original contrastive predictive coding paper (2018)

Integrating Contrastive Predictive Coding into Facebook AI's Universal Music Translation Network for music translation.

A research implementation of a context-conditioned, zero-shot video anomaly detection framework that integrates spatiotemporal features extracted via TimeSformer with contrastive predictive coding and semantic alignment through CLIP. The repository includes training and evaluation pipelines, configuration files, and the accompanying thesis/paper.