448 Open source projects that are alternatives of or similar to EDANet

High-quality Neural Networks for Computer Vision 😎

Caffe: a fast open framework for deep learning.

Convolutional (Patch) Networks for Semantic Segmentation

The implementation of 3D-UNet using PyTorch

Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

Semi Supervised Semantic Segmentation Using Generative Adversarial Network ; Pytorch

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

Paper Lists for Graph Neural Networks

[ICLR2022] official implementation of UniFormer

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

A paper list of RGBD semantic segmentation (processing)

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

Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

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 Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

Implemetation of Pyramid Scene Parsing Network in Pytorch

Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron

Semantic Segmentation using Fully Convolutional Neural Network.

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

CNN visualization tool in TensorFlow

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

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

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

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

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

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

A framework for developing neural network models for 3D image processing.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Keras tutorial for beginners (using TF backend)

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

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)

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

4th place solution in Baidu Autonomous Driving Lane Segmentation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Differentiable architecture search for convolutional and recurrent networks

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

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

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

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

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Make pytorch and tensorflow two become one.

Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch

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

Simple implementation of the LSUV initialization in keras

📚 记录一些自己读过的论文与笔记

Simple implementation of the LSUV initialization in PyTorch

No description or website provided.

PyTorch implementation of several SSD based object detection algorithms.

Introduction to deep learning with Tensorflow.

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Paper Lists for Graph Neural Networks

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

Image colorization using CNNs in tensorflow