Vishnuvarthanan7

Vishnuvarthanan7's Stars

• manjunath5496/Most-Popular-Books

  "What is a book? Is it the binding, the ink, the pages, or the sum of the words contained?" ― Cassandra Clare

  74

• manjunath5496/999-eBooks

  "There is no friend as loyal as a book." ― Ernest Hemingway

  4315

• ScaledFoundations/GRID-playground

  Platform for General Robot Intelligence Development

  Language:Python26025

• uzh-rpg/rpg_ramnet

  Code and datasets for the paper "Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction" (RA-L, 2021)

  Language:Python9328

• tudelft/event_flow

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

  Language:Python8413

• uzh-rpg/RVT

  Implementation of "Recurrent Vision Transformers for Object Detection with Event Cameras". CVPR 2023

  Language:Python31441

• microsoft/event-vae-rl

  Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://arxiv.org/abs/2103.00806

  Language:Python4713

• uzh-rpg/event-based_vision_resources

  2.8k646

• BruntonUWBio/plumetracknets

  Supplementary data and code accompanying: https://arxiv.org/abs/2109.12434

  Language:Jupyter Notebook286

• nirmal-25/Advanced-Driver-Assistance-Systems-ADAS

  A deep learning approach to traffic lights/signs detection and car distance estimation is implemented using background thresholding to train multiple datasets, leading to much better cross-detections.

  Language:Jupyter Notebook6

• OniroAI/MonoDepth-PyTorch

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

  Language:Python544126

• mrharicot/monodepth

  Unsupervised single image depth prediction with CNNs

  Language:Python2.2k631

• mrdbourke/zero-to-mastery-ml

  All course materials for the Zero to Mastery Machine Learning and Data Science course.

  Language:Jupyter Notebook2.9k3.4k