475 Open source projects that are alternatives of or similar to Deep Koalarization

Keras implementation of Non-local Neural Networks

line drawing colorization using TensorFlow

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Applying the machine learning tool "DeOldify" on videos, frame by frame.

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

An unofficial implementation of MemoPainter(Coloring With Limited Data: Few-shot Colorization via Memory Augmented Networks) using PyTorch framework.

Anomaly detection implemented in Keras

A zsh library to use LS_COLORS

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Simple and comprehensive tutorials in TensorFlow

🌈 Mode-specific statusline colors

BCDU-Net : Medical Image Segmentation

Velocity in deep-learning research

A best practice for tensorflow project template architecture.

Machine learning algorithms for many-body quantum systems

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

U-Net Model conditioned with MobileNet features for Grayscale -> Color mapping

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Limner colorizes and transforms CLI outputs.

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

Automatic Real Time Colorization with CNN on iOS

Deep Learning Computer Vision Algorithms for Real-World Use

[CVPR 2021] EII: Image Inpainting with External-Internal Learning and Monochromic Bottleneck

Outdated, see new https://github.com/braindecode/braindecode

A image registration method using convolutional neural network features.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Convolutional neural networks for artistic style transfer.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

tensorflow implementation of Grad-CAM (CNN visualization)

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings.

Keras- Multi Label Image Classification

colorize video using publicly available neural-networks

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

Pytorch Convolutional Neural Net and GAN based video coloriser that converts black and white video to colorised video.

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Selected Paper List of Deep Model based Image Colorization

Code examples for new APIs of iOS 10.

Automatic icon colorization using deep convolutional neural networks. "Towards Icon Design Using Machine Learning." In Stanford CS229, Fall 2017.

A modern PyTorch implementation of SRGAN

It dreams about becoming ruby's awesome_print for crystal-lang, under light development.

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Golang Helper for beautiful CLI Applications

Multi-view CNN (MVCNN) for shape recognition

🖌️ Automatic Image Colorization with Simultaneous Classification – based on "Let there be Color!"

Unofficial PyTorch Reimplementation of RandAugment.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Face landmarks(fiducial points) detection benchmark

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Repository for most of the code from my YouTube channel

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.