70 Open source projects that are alternatives of or similar to Colorization.tensorflow

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

CNN visualization tool in TensorFlow

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Reference caffe implementation of LSUV initialization

Keras tutorial for beginners (using TF backend)

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

Fully Convlutional Neural Networks for state-of-the-art time series classification

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

A convolutional neural network from scratch

Outdated, see new https://github.com/braindecode/braindecode

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Paper Lists for Graph Neural Networks

Colorization of grayscale images using CycleGAN in TensorFlow.

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

Naszilla is a Python library for neural architecture search (NAS)

Learning Based Calibrated Photometric Stereo for Non-Lambertian Surface (ECCV 2018)

Self driving car in GTAV with Deep Learning

Evaluation of the CNN design choices performance on ImageNet-2012.

Spatial Pyramid Network for Optical Flow

U-Net: Convolutional Networks for Biomedical Image Segmentation

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Curated Tensorflow code resources to help you get started with Deep Learning.

High-quality Neural Networks for Computer Vision 😎

Object classification with CIFAR-10 using transfer learning

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

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

A playable implementation of Fully Convolutional Networks with Keras.

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Simple implementation of the LSUV initialization in PyTorch

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

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

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

Image Captioning: Implementing the Neural Image Caption Generator with python

Repository has been moved: https://github.com/adobe/antialiased-cnns

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

TensorFlow implementation of DispNet by Zhijian Jiang.

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Image Deblurring using Generative Adversarial Networks

A self driving toy car using end-to-end learning

A from-scratch PyTorch implementation of "Colorful Image Colorization" by Zhang et al.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

No description or website provided.

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)

Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

Differentiable architecture search for convolutional and recurrent networks

PyTorch implementation of several SSD based object detection algorithms.

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

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

Implementation details for EDANet

Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Convolutional (Patch) Networks for Semantic Segmentation