This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.

Awesome-AI-Meets-Biology is a collection of state-of-the-art, novel, exciting LLMs and agents on biomedical and bioinformatic fields.

Awesome-AI-Virtual-Cell

[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

We design an effective Relation-Aware Global Attention (RGA) module for CNNs to globally infer the attention.

[IWBF 2024]: "Joint Person Identity, Gender and Age Estimation from Hand Images using Deep Multi-Task Representation Learning"

[ICPR 2022]: "Multi-Branch with Attention Network for Hand-Based Person Recognition"

Codes and databases for our paper（under review）

Lightweight CLI download accelerator

Framework for evaluating ANNS algorithms on billion scale datasets.

Extract minutiae features from fingerprint images

[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search

Pandas Network Analysis by UrbanSim: fast accessibility metrics and shortest paths, using contraction hierarchies 🗺️

[ICME-2023] Official Pytorch implementation of AU-aware graph convolutional network for Macro- and Micro-expression spotting

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

This repository provides a wrapper with very easy usage for Nvidia's Flownet2 Implementation

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Face recognition with deep neural networks.

[ICCV 2021] MGSampler: An Explainable Sampling Strategy for Video Action Recognition

Efficient face emotion recognition in photos and videos

Official release of FacialFlowNet: Advancing Facial Optical Flow Estimation with a Diverse Dataset and a Decomposed Model (ACMMM2024)

Extracting optical flow and frames

Pytorch0.4.1 codes for InsightFace

[ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

[TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos