418 Open source projects that are alternatives of or similar to Rigl

Deep learning codes and projects using Python

Deep Learning for Julia

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

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

A clear, concise, simple yet powerful and efficient API for deep learning.

An easy-to-use interface for measuring uncertainty and robustness.

List of articles related to deep learning applied to music

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

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

A collection of common algorithms and data structures implemented in java, c++, and python.

Spying using Smartwatch and Deep Learning

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Bayesian Deep Learning: A Survey

A P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.

Concise deep learning for JAX

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Train an RL agent to localize actively (PyTorch)

Code for reproducing Flow ++ experiments

LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Various CNN models for CIFAR10 with Chainer

Awesome machine learning model compression research papers, tools, and learning material.

Computational Cognitive Neuroscience, Fourth Edition

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

Machine Learning for High Energy Physics.

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

A tool for automatic phoneme transcription

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Tools and libraries to run neural networks in Minecraft ⛏

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

FastText for Node.js

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

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

Deep Learning for Astronomers with Tensorflow

A single / multi layer / recurrent neural network written in Golang.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

A neural network for end-to-end music source separation

Machine reading comprehension on clinical case reports

Scalable Implementation of Deep CFR and Single Deep CFR

A collection of Natural language processing pre-trained models.

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

A tiny neural network 🧠

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

Acceleration package for neural networks on multi-core CPUs

Neural Networks that invent their own encryption 🔑

A reproduction of growing neural cellular automata using PyTorch.

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Learn to Build a Machine Learning Application from Top Articles

✨Fast Coreference Resolution in spaCy with Neural Networks

Machine Learning inference engine for Microcontrollers and Embedded devices

18.S096 - Applications of Scientific Machine Learning

A PyTorch Library for Accelerating 3D Deep Learning Research

Hummingbird compiles trained ML models into tensor computation for faster inference.

Accelerate Neural Net Training by Progressively Freezing Layers

Brain Modeling Toolkit

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