Stars
Repository for Fraud Dataset Benchmark
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
Code and supplementary material for the FlyNN classifier for Federated Nearest Neighbor Classification
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Coresets via Bilevel Optimization
Graph signal sampling using the AVM algorithm
A curated list of awesome Machine Learning frameworks, libraries and software.
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A data augmentations library for audio, image, text, and video.
Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
Massively parallel rigidbody physics simulation on accelerator hardware.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
EsViT: Efficient self-supervised Vision Transformers
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Training PyTorch models with differential privacy
Pytorch implementation of convolutional neural network visualization techniques