1368 Open source projects that are alternatives of or similar to Xaynet

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

Learning to Learn in TensorFlow

Deep Learning Computer Vision Algorithms for Real-World Use

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

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

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

A curated list of awesome awesomeness about artificial intelligence

A curated list of awesome Distributed Deep Learning resources.

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

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

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.

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

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

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.

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

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.

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

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

Deep learning codes and projects using Python

Support content for my blog

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

Daily Dose of Neural Network that Everyone Needs

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.

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

A tool for automatic phoneme transcription

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

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

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

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

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

Autodifferentiation package in Rust.

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

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

A PyTorch Library for Accelerating 3D Deep Learning Research

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

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

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

Grokking Deep Reinforcement Learning

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

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!

Deep Learning tools for brain medical images

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

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)

Disclaimer: This is not an official Google product.

Build Graph Nets in Tensorflow

repo with challenge material for riceteacatpanda (2020)

JavaScript Digital Organisms simulator

Finding the genre of a song with Deep Learning

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 …

Distributed Learning by Pair-Wise Averaging

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

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.

Getting started with AllenNLP and PyTorch by training a tweet classifier

TensorFlow-based neural network library

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Provide a basic framework to build an Utility IA in Unity using the xNode editor of Siccity

A Pytorch implementation of Stylegan2 with UNet Discriminator

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Distributed Deep learning with Keras & Spark