rdbch / not_a_simclr
A simple PyTorch tutorial for helping one implement the SimCLR framework.
☆10Updated 3 years ago
Related projects: ⓘ
- Domain adaptation made easy. Fully featured, modular, and customizable.☆353Updated last year
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆543Updated 2 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆779Updated 3 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆333Updated 3 years ago
- Code of the paper "Neighborhood Contrastive Learning Applied to Online Patient Monitoring"☆22Updated last year
- Experiments for understanding disentanglement in VAE latent representations☆785Updated last year
- Library of autoencoders for sequential data☆424Updated 7 months ago
- Pytorch implementation of β-VAE☆516Updated 3 years ago
- All about domain generalization☆829Updated last year
- Variational Recurrent Autoencoder for timeseries clustering in pytorch☆452Updated last year
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆337Updated 2 years ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆176Updated last year
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆426Updated 8 months ago
- A repository for some common operations for everyone☆13Updated 4 months ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆242Updated 2 years ago
- Critical difference diagram with Wilcoxon-Holm post-hoc analysis.☆247Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆597Updated 2 years ago
- Code Repository for SCM-VAE (IEEE Big Data)☆10Updated last year
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆752Updated 4 months ago
- A PyTorch implementation of the Deep SVDD anomaly detection method☆698Updated last year
- An example of time series augmentation methods with Keras☆328Updated 2 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆529Updated last month
- Contrastive Predictive Coding for Automatic Speaker Verification☆477Updated 4 years ago
- pytorch implementation for Contrastive Adaptation Network☆322Updated 3 years ago
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆351Updated 5 months ago
- A Comparative Study on Unsupervised Anomaly Detection forTime Series☆9Updated 2 years ago
- BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series☆67Updated 3 years ago
- A continual model for human activity recognition (called HAR-GAN). It is based on a technique called `generative replay` which two models…☆18Updated last year
- Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments☆393Updated last month
- A collection of implementations of adversarial domain adaptation algorithms☆603Updated 3 years ago