KevinMusgrave / pytorch-adaptLinks
Domain adaptation made easy. Fully featured, modular, and customizable.
β387Updated 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:
- π½ Out-of-Distribution Detection with PyTorchβ320Updated 3 weeks ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"β496Updated last year
- β424Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labelsβ296Updated 2 years ago
- Awesome Domain Adaptation Python Toolboxβ353Updated 11 months ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.β250Updated last month
- Reliability diagrams visualize whether a classifier model needs calibrationβ158Updated 3 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricksβ169Updated 3 years ago
- Another Domain Adaptation library, aimed at researchers.β104Updated 7 months ago
- β218Updated 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 β¦β366Updated last year
- This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretaβ¦β375Updated 3 years ago
- Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)β546Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"β161Updated last year
- A Pytorch-Lightning implementation of self-supervised algorithmsβ546Updated 3 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces resultsβ210Updated last year
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural networkβ150Updated 4 years ago
- β122Updated 3 years ago
- A collection of implementations of adversarial domain adaptation algorithmsβ637Updated 4 years ago
- Wasserstein Adversarial Active Learningβ29Updated 5 years ago
- Compare neural networks by their feature similarityβ373Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.β67Updated 2 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.β55Updated 2 years ago
- Pytorch implementation of various neural network interpretability methodsβ118Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertaintyβ145Updated 2 years ago
- Full-gradient saliency mapsβ212Updated 2 years ago
- Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"β294Updated 3 years ago
- VICReg official code baseβ546Updated 2 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.β804Updated last year
- VICRegL official code baseβ231Updated 2 years ago