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a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

aerial_pedestrian_detection

basicsr

Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.

cincgan-pytorch

Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.

convnet-drawer

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

cs231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

cs231-1

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

custom-mask-rcnn-using-tensorfow-object-detection-api

Custom Mask RCNN using Tensorflow object detection API

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deep-learning-for-tracking-and-detection

Collection of papers and other resources for object tracking and detection using deep learning

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

eegan

Edge Enhanced GAN For Remote Sensing Image Super-Resolution

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

esrgan-tensorflow

A tensorflow implementation of ESRGAN

faceswap

Deepfakes Software For All

faster_rcnn_for_dota

Code used for training Faster R-CNN on DOTA

faster_rcnn_for_open_images_dataset_keras

Faster R-CNN for Open Images Dataset by Keras

image-super-resolution

Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

is13

RNN for Spoken Language Understanding

keras-retinanet

Keras implementation of RetinaNet object detection.

keras_frcnn

Keras Implementation of faster-rcnn

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml-ndt

Data and code for training deep convolutional neural network to detect cracks in phased-array ultrasonic data.

models

Models and examples built with TensorFlow

plotneuralnet

Latex code for making neural networks diagrams

practical-cnn

A VGG practical on convolutional neural networks