2515 Open source projects that are alternatives of or similar to Dltk

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Distributed scikit-learn meta-estimators in PySpark

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

Multi-platform, free open source software for visualization and image computing.

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

😎 A curated list of awesome MLOps tools

An open-source, low-code machine learning library in Python

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

Probabilistic reasoning and statistical analysis in TensorFlow

Deep Learning for humans

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

How to use TensorLayer

RMDL: Random Multimodel Deep Learning for Classification

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

JAX-based neural network library

food image to recipe with deep convolutional neural networks.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Data compression in TensorFlow

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Training code for facial landmark detection based on deep convolutional neural network.

A flexible, high-performance serving system for machine learning models

All the slides, accompanying code and exercises all stored in this repo. 🎈

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

⚡High Performance DICOM Medical Image Parser in Go.

Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Medical image preprocessing and augmentation toolkit for deep learning

DeepFaceLab is the leading software for creating deepfakes.

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

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Descriptive Deep Learning

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

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.

pyclustring is a Python, C++ data mining library.

🔮Deep Learning for text made easy with AllenNLP

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Data-centric declarative deep learning framework

GPU accelerated Deep Belief Network

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Slicer extensions index

Deep Learning tools for brain medical images

The Official Deep Learning Framework for Route-based Place Recognition

Multi-class confusion matrix library in Python

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

A collection of notebooks of my Machine Learning class written in python 3

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

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

Visualisations for Convolutional Neural Networks in Pytorch

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

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