618 Open source projects that are alternatives of or similar to Adn

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

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"

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

DLTK Model Zoo

Deep Learning Toolkit for Medical Image Analysis

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

DICOM Web Viewer: open source zero footprint medical image viewer.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Implementation of the Sliced Wasserstein Autoencoders

Iterative Residual Network for Deep Joint Image Demosaicking and Denoising

Tensorflow Implementation of ChannelNets (NeurIPS 18)

ConvNets for Audio Recognition using Google Commands Dataset

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

A curated list of resources for Learning with Noisy Labels

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

My Solution to Assignments of CS231n in Winter2016

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Deep neural network based model for sequence to sequence classification

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

Implementation of soft dynamic time warping in pytorch

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

MobilNet-SSD object detection in opencv 3.4.1

Deep Neural Network Sandbox for JavaScript.

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

📢 Ready to learn or review your knowledge!

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Deep Texture Encoding Network

Application of machine learning to the Coinbase (GDAX) orderbook

Gluon to PyTorch deep neural network model converter

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Create automatic playlists by using Deep Learning to *listen* to the music

Odil is a C++11 library for the DICOM standard

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

A simple and useful implementation of LPIPS.

3D Unet Equipped with Advanced Deep Learning Methods

ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

A list of Medical imaging datasets.

All DeepLearning4j projects go here.

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.