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aviva-lifehack

Aviva-LifeHack Hackathon

awesome-crowd-counting

Awesome Crowd Counting

blind-image-deconvolution-using-deep-generative-priors

Paper implemention of paper "Blind Image Deconvolution using Deep Generative Priors"

brain-mri-segmentation-using-unet

UNET model for segmenting brain MRI images for 3D modeling

c-3-framework

An open-source PyTorch code for crowd counting

cc_defaulters_prediction

class-agnostic-counting

colorfilters

Image thresholding in multiple colorspaces.

colorization-pytorch

PyTorch reimplementation of Interactive Deep Colorization

conditional-analogy-gan-keras

keras implementation of CAGAN and its variants. The Conditional Analogy GAN: Swapping Fashion Articles on People Images

context-aware_crowd_counting-pytorch

The implementation of Context-Aware Crowd Counting(CVPR2019)

countingthrusegmentation

People counting through segmentation (Mask R-CNN)

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

crowdcountingcvpr18

The rep for the Crowd Counting paper accepted by CVPR 2018

crowdflow

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

csrnet-keras

An unofficial implementation of CSRNet for crowd counting.

csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

data-engineering

dbsrcnn

Deblurring Super-Resolution Convolutional Neural Network

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network

deep-image-prior

Image restoration with neural networks but without learning.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-sort-yolov4

People detection and optional tracking with Tensorflow backend.

digits-recognition-deep-learning

disentangling_conditional_gans

Disentangling Multiple Conditional Inputs in GANs

dna-capitals

DNA Capitals Hackathon

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

energy-monitoring-using-unity-3d

Hololens Application for energy monitoring in workcell using Augmented Reality - Unity 3D