774 Open source projects that are alternatives of or similar to Libra

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

List of articles related to deep learning applied to music

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.

All DeepLearning4j projects go here.

由淺入深的深度學習資源 Collection of deep learning materials for everyone

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Implementation of Quickdraw - an online game developed by Google

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Deep Learning over PyTorch

AutoML frAmework for Neural Networks

machine learning and deep learning tutorials, articles and other resources

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Gradient based Hyperparameter Tuning library in PyTorch

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

An automatic ML model optimization tool.

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

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 …

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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

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

Deepfakes Software For All

Lightwood is Legos for Machine Learning.

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

FastText for Node.js

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

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

DeepFaceLab is the leading software for creating deepfakes.

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

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

[UNMAINTAINED] Automated machine learning for analytics & production

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

Probabilistic time series modeling in Python

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Time Series Forecasting Best Practices & Examples

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Frame-Recurrent Video Super-Resolution (official repository)

A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)

EvalML is an AutoML library written in python.

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

Deep Learning for Julia

Julia port of the Python autograd package.

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Scalable Implementation of Deep CFR and Single Deep CFR

Code for Java Deep Learning Cookbook

Anomaly detection tutorial on univariate time series with an auto-encoder

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

Learning Chinese Character style with conditional GAN

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

Machine Learning inference engine for Microcontrollers and Embedded devices

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

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

Autodifferentiation package in Rust.

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