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awesome-action-recognition

A curated list of action recognition and related area resources

coatnet-pytorch

A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".

event-based_vision_resources

event_cnn_minimal

Minimal code for loading models trained for ECCV'20

event_flow

Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks

events_contrast_maximization

A python library for contrast maximization and voxel creation using events

evflownet-pytorch

EVFlowNet in pytorch

hyperx

i-bike

lsm_dvs_gesture

ml-cvnets

CVNets: A library for training computer vision networks

mobilevit-pytorch

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

monodepth-pytorch

Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

mvsec_eval

Code for getting MVSEC numbers for optic flow from events

objectdetectionandnavigation

puma-compiler

PUMA Compiler

puma-simulator

[ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and runs ML models compiled using the puma compiler.

realtime-spike-flownet

SpikeFlowNet with realtime inference using DVS cameras

rehabilitationrobotics

robb-robobutler

safe_falling_caris_lab_ubc

scanfi

smartsteer

ssl_e2vid

stam

Official implementation of "An Image is Worth 16x16 Words, What is a Video Worth?" (2021 paper)

video-classification

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101