67 Open source projects that are alternatives of or similar to Awesome-Graph-Neural-Networks

🎨 🎨 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/

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

Image Deblurring using Generative Adversarial Networks

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

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)

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

Image Captioning: Implementing the Neural Image Caption Generator with python

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

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

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

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

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.

No description or website provided.

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Implementation details for EDANet

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

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

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

PyTorch implementation of several SSD based object detection algorithms.

Differentiable architecture search for convolutional and recurrent networks

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).

A convolutional neural network from scratch

Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18

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

Reference caffe implementation of LSUV initialization

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

Paper Lists for Graph Neural Networks

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

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

TensorFlow implementation of DispNet by Zhijian Jiang.

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

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

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

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

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

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

CNN visualization tool in TensorFlow

Image colorization using CNNs in tensorflow

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

Spatial Pyramid Network for Optical Flow

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

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

U-Net: Convolutional Networks for Biomedical Image Segmentation

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"

Keras tutorial for beginners (using TF backend)

Simple implementation of the LSUV initialization in PyTorch

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

High-quality Neural Networks for Computer Vision 😎

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

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

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

同名论文消歧的工程化方案（参考2019智源-aminer人名消歧竞赛第一名方案）

Self driving car in GTAV with Deep Learning

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

Object classification with CIFAR-10 using transfer learning