988 Open source projects that are alternatives of or similar to Deepmedic

👀 Tobii Eye Tracker 4C Setup

A higher-level Neural Network library for microcontrollers.

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Segmentation of prostate from MRI scans

Implementation of State-of-the-art Text Classification Models in Pytorch

Surgical Image Guidance and Healthcare Toolkit

🚀 😏 Near Real Time CPU Face detection using deep learning

Meta-repository of screening mammography classifiers

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Repository for "AI/MD in Medicine" club in clubhouse

A light-weight, power efficient, and general purpose convolutional neural network

A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

DICOM Viewer

RMDL: Random Multimodel Deep Learning for Classification

Kidney Tumor Segmentation Challenge 2019

A flexible framework of neural networks for deep learning

TUM_MLMI_SS16: Convolutional Neural Network using U-Net architecture to predict one modality of a brain MRI scan from another modality.

U-Net: Convolutional Networks for Biomedical Image Segmentation

BisQue is an ML Platform for storing, analyzing, and visualizing your data all in the browser.

Monthly Series - Top 10 Machine Learning Articles

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Contains my explorations of TensorFlow 2.x

DICOM Image Segmentation with CNNs in Tensorflow

A generalizable application framework for segmentation, regression, and classification using PyTorch

Vehicle detection using YOLO in Keras runs at 21FPS

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

High-quality implementations of standard and SOTA methods on a variety of tasks.

Deep learning framework for MRI reconstruction

The Medical Imaging Interaction Toolkit.

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Time series annotation library.

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

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

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Segmentation of skin cancers on ISIC 2017 challenge dataset.

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

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

Tensors and differentiable operations (like TensorFlow) in Rust

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

A curated list of dedicated resources and applications

Message Passing Neural Networks for Molecule Property Prediction

A multi-channel neural network audio classifier using Keras

Brevitas: quantization-aware training in PyTorch

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER

pytorch 包教不包会

PyTorch Implementation for Deep Metric Learning Pipelines

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

A curated list of awesome Distributed Deep Learning resources.

CNN visualization tool in TensorFlow

Head pose estimation by TensorFlow and OpenCV

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

[CVPR2020] GhostNet: More Features from Cheap Operations