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Android application recognizing digits using quantized 8-bit MobileNetV3.
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.
Demo code for "Change Detection by Training a Triplet Netowk for Motion Feature Extraction"
Code for paper "Plug and Play Generative Networks"
A JavaScript deep learning and reinforcement learning library.
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
The most cited deep learning papers
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
An Open Source Machine Learning Framework for Everyone
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
Repository containing wrapper to obtain various object proposals easily
Deep Residual Learning for Image Recognition
Evaluation of detection performance, recall, and repeatability of detection proposal algorithms
R-FCN with joint training and python support
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
R-CNN: Regions with Convolutional Neural Network Features