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autodeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

cnactproj1

Text Extraction from images

coursera-university-of-washington

University of Washington

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

data-science--cheat-sheet

Cheat Sheets

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

detectron

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

dlib

A toolkit for making real world machine learning and data analysis applications in C++

edge-connect

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212

enet-real-time-semantic-segmentation

ENet - A Neural Net Architecture for real time Semantic Segmentation

fashion_mnist

Image similarity on Fashion MNIST

forex-rl-challenge

A Deep Reinforcement Learning Challenge on Forex Portfolio Management

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gpen

graphonomy

Graphonomy: Universal Human Parsing via Graph Transfer Learning

image-similarity-deep-ranking

image2textextractionprototype

keras-segmentation-deeplab-v3.1

An awesome semantic segmentation model that runs in real time

machine-learning-university-of-washington

Assignments for University of Washington Machine Learning Specialization through Coursera

median-stack-filter

Median stack filter in opencv

motionblur-detection-by-cnn

ntm-one-shot-tf

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

ocr-text-extraction

A simple program to extract the text from an image before performing OCR

pedestraindetection

Pedestrian Detection using Caltech and INRIA dataset with Darknet Framework.

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch_segmentation

Semantic segmentation models, datasets and losses implemented in PyTorch.

semantic_human_matting

Semantic Human Matting