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video-loop-detection

detecting loops in a video using python

video-object-removal

Just draw a bounding box and you can remove the object you want to remove.

video-understanding-dataset

A collection of recent video understanding datasets, under construction!

video_prediction

Stochastic Adversarial Video Prediction

videoimagination

vidpipe

Video data processing pipeline using OpenCV

vins-mobile

Monocular Visual-Inertial State Estimator on Mobile Phones

visda-2018-public

visdial-challenge-starter-pytorch

Starter code in PyTorch for the Visual Dialog challenge

vision

Datasets, Transforms and Models specific to Computer Vision

visual-interaction-networks_tensorflow

Tensorflow Implementation of Visual Interaction Networks

visualdl

A platform to visualize the deep learning process.

visualizing-convnets

How to build convolutional neural networks from scratch w/ Tensorflow

visualizing_cnns

Using Keras and cats to visualize layers from CNNs

visualizing_momentum

Visualizing Gradient Descent with Momentum in Python

voc_classification

vocalization-sign-language-ios

Vocalization sign language iOS App with deep learning using CoreML.

volcanoes-in-the-united-states

With help of Python and Folium, visualise active Volcanoes in the United States. Also, create a choropleth map to demonstrate unemployment rate in the same country.

voxel-dcgan

A deep generative model of 3D volumetric shapes

voxelmorph

Unsupervised Learning for Image Registration

vq-draw

A discrete sequential VAE

vqa-text

vqa_regat

Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"

vrn

:man: Demo code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

vrp

A Vehicle Routing Problem solver

vrp-rl

Reinforcement Learning for Solving the Vehicle Routing Problem

vscode-leetcode

Solve LeetCode problems in VS Code

vsepp

Code for the paper "VSE++: Improved Visual Semantic Embeddings"

vunet

A generative model conditioned on shape and appearance.

w-net

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.