KevinMusgrave / pytorch-adaptLinks
Domain adaptation made easy. Fully featured, modular, and customizable.
☆391Updated 2 years ago
Alternatives and similar repositories for pytorch-adapt
Users that are interested in pytorch-adapt are comparing it to the libraries listed below
Sorting:
- 👽 Out-of-Distribution Detection with PyTorch☆331Updated 2 months ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆503Updated last year
- Awesome Domain Adaptation Python Toolbox☆357Updated last week
- Reliability diagrams visualize whether a classifier model needs calibration☆161Updated 3 years ago
- ☆428Updated 4 years ago
- Another Domain Adaptation library, aimed at researchers.☆104Updated 8 months ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆299Updated 2 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆169Updated 3 years ago
- ☆219Updated 3 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆369Updated last year
- A Pytorch-Lightning implementation of self-supervised algorithms☆545Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)☆546Updated last year
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpreta…☆380Updated 3 years ago
- VICRegL official code base☆231Updated 2 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆106Updated 2 years ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- A collection of implementations of adversarial domain adaptation algorithms☆637Updated 4 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆183Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆145Updated 2 years ago
- All about domain generalization☆842Updated 9 months ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆258Updated 2 months ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated 2 years ago
- Pytorch implementation of various neural network interpretability methods☆119Updated 3 years ago
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"☆296Updated 3 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆810Updated last year
- ☆122Updated 3 years ago
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆500Updated 3 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆154Updated 2 years ago
- VICReg official code base☆549Updated 2 years ago