1324 Open source projects that are alternatives of or similar to Handtrack.js

A curated list of awesome awesomeness about artificial intelligence

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

Disclaimer: This is not an official Google product.

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

TensorFlow-based neural network library

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

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 …

Build Graph Nets in Tensorflow

Deep Learning tools for brain medical images

Getting started with AllenNLP and PyTorch by training a tweet classifier

Deep learning codes and projects using Python

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

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

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.

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

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!

Learning to Learn in TensorFlow

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

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

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

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.

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

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.

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

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

A tool for automatic phoneme transcription

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

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.

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

Daily Dose of Neural Network that Everyone Needs

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

A PyTorch Library for Accelerating 3D Deep Learning Research

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

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

Deep Learning Computer Vision Algorithms for Real-World Use

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

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

Grokking Deep Reinforcement Learning

Support content for my blog

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)

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

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

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

Finding the genre of a song with Deep Learning

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

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

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

repo with challenge material for riceteacatpanda (2020)

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

Autodifferentiation package in Rust.

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.

Javascript Starter Boilerplate - Webpack 4, Babel 7, UMD, Hot Reloading, and more

Accelerate Neural Net Training by Progressively Freezing Layers

The JavaScript library for modern SVG graphics.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

a [μ] microInteraction library built with CSS Animations and controlled by JavaScript Power

Library for Semi-Automated Data Science

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

A simple from-scratch neural net written in Go

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥