Adarsh Kosta's Projects
A curated list of action recognition and related area resources
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".
Minimal code for loading models trained for ECCV'20
Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
A python library for contrast maximization and voxel creation using events
EVFlowNet in pytorch
CVNets: A library for training computer vision networks
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
Code for getting MVSEC numbers for optic flow from events
PUMA Compiler
[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.
SpikeFlowNet with realtime inference using DVS cameras
Official implementation of "An Image is Worth 16x16 Words, What is a Video Worth?" (2021 paper)
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101