1141 Open source projects that are alternatives of or similar to Deepbrain

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Deep learning codes and projects using Python

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Grokking Deep Reinforcement Learning

Learning to Learn in TensorFlow

RadIO is a library for data science research of computed tomography imaging

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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.

TensorFlow-based neural network library

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Avalanche: a End-to-End Library for Continual Learning.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

A tool for automatic phoneme transcription

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.

A curated list of awesome awesomeness about artificial intelligence

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!

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Disclaimer: This is not an official Google product.

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

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"

Daily Dose of Neural Network that Everyone Needs

Awesome list of software that I use to do research in medical imaging.

An open-source platform for automating tasks using machine learning models

Deep Learning Toolkit for Medical Image Analysis

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Getting started with AllenNLP and PyTorch by training a tweet classifier

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Autodifferentiation package in Rust.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

My personal notes, presentations, and notebooks on everything Deep Learning.

A library for prototyping realtime hand detection (bounding box), directly in the browser.

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)

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

a delightful machine learning tool that allows you to train, test, and use models without writing code

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Finding the genre of a song with Deep Learning

Deep Learning Computer Vision Algorithms for Real-World Use

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

A PyTorch Library for Accelerating 3D Deep Learning Research

SincNet is a neural architecture for efficiently processing raw audio samples.

Support content for my blog

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

Build Graph Nets in Tensorflow

repo with challenge material for riceteacatpanda (2020)

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Intelygenz standard environment that covers the technological and methodological needs of a data team in an artificial intelligence project.

Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation is here: http://www.idris.fr/eng/jean-zay/

jfuzzylite: a fuzzy logic control library in Java