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

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

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

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Convolutional neural networks for artistic style transfer.

PyTorch implementation of Super SloMo by Jiang et al.

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tensorflow implementation of Grad-CAM (CNN visualization)

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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.

Simplify the training and tuning of Tensorflow models

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

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Keras- Multi Label Image Classification

MetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.

colorize video using publicly available neural-networks

Supervised Semantics-preserving Deep Hashing (TPAMI18)

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

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

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

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

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

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

3D image classification using CNN (Convolutional Neural Network)

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

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Selected Paper List of Deep Model based Image Colorization

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Code examples for new APIs of iOS 10.

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

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

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

A modern PyTorch implementation of SRGAN

A High-Quality Real Time Upscaler for Anime Video

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

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

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)

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

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Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Multi-view CNN (MVCNN) for shape recognition

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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

A specially designed light version of Fast AutoAugment

Unofficial PyTorch Reimplementation of RandAugment.

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.

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

Face landmarks(fiducial points) detection benchmark

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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.

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).