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3d-cnn-keras

http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html

3d-convolutional-speaker-recognition-pytorch

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

acurustrack

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

apricot

apricot implements submodular selection for the purpose of selecting subsets of massive data sets to train machine learning models quickly.

attention_branch_network

Attention Branch Network (CIFAR100, ImageNet models)

audio-input-effects

Live input Web Audio effects

awesome-image-tagging

A paper list of awesome Image Tagging

aws-media-services-vod-automation

Sample code and CloudFormation scripts for automating Video on Demand workflows on AWS

biconvlstm_violence_detection

This Pytorch repo uses BiConvLSTM in a Spatiotemporal Encoder to detect violence in Videos. Three benchmark datasets namely Hockey, Movies and Violent Flows were used in this work.

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

caffe_triplet_multiple_inputs

Caffe Framework for Triplet Network Ranking

cnn-vis

Use CNNs to generate images

cnnimageretrieval

CNNImageRetrieval: Training and evaluating CNNs for Image Retrieval

context-active-learning

Non-Uniform Subset Selection for Active Learning in Structured Data

conv-net-version-3

Deep neural network framework (C++/OpenCV).

convarc

PyTorch implementation of Attentive Recurrent Comparators

deep-speaker

Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deepid

deep face recognition algorithm

deepid_faceclassify

Practise of DeepID for Face Classification

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeponeclass

Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.

depth-from-focus

Capture a sequence of images with different focus settings, use these images to find the depth for each pixel in the scene, and then use this depth map to estimate an all-in focus image

dls

Deep Learning Studio is a GUI based deep learning platform for designing, training and evaluating artificial neural networks without programming skills.

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dpln-emseg

The final project of ECBM-4040-Neural Networks and Deep Learning in Columbia University. Learning-based EM image segmentation (based on PyraMid-LSTM)

drawio-diagrams

Diagrams for draw.io

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

edram-pytorch