Stars
AMQP 0-9-1 library and client for Node.JS
Refine high-quality datasets and visual AI models
Official repository for "Dissecting Self-Supervised Learning Methods for Surgical Computer Vision"
Language-Driven Semantic Segmentation
A modern and customizable python UI-library based on Tkinter
Implementation of Open-Set Likelihood Maximization for Few-Shot Learning
Official Pytorch implementation of the "Online Segmentation of LiDAR Sequences: Dataset and Algorithm" paper
Toolbox for HelixNet, a dataset presented in the "Online Segmentation of LiDAR Sequences: Dataset and Algorithm" paper
Code for the paper: "Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning"
(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
Vision Transformer (ViT) in PyTorch
A PyTorch converter for SimCLR checkpoints
Code for "Limitations of Post-Hoc Feature Alignment for Robustness".
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Public repo for helpful scripts when using the YouTube Bounding Boxes dataset
A collection of Beamer themes from the community
Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
A minimal pytorch package implementing a gradient reversal layer.
The MNIST-M dataset for domain adaptation (PyTorch).
Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2002.11798)
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Python library for creating flow networks and computing the maxflow/mincut (aka graph-cuts for Python)
Standalone TFRecord reader/writer with PyTorch data loaders
Code for Scalable Laplacian K-modes (SLK), NEURIPS 2018
PyTorch implementation for "Few-Shot Learning with Class Imbalance"
A dataset of datasets for learning to learn from few examples