1056 Open source projects that are alternatives of or similar to Gluon Ts

Tools and libraries to run neural networks in Minecraft ⛏

Python Adaptive Signal Processing

JeVois smart machine vision framework

Insightface face detection and recognition model that just works out of the box.

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

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

FastText for Node.js

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Pytorch implementation of Block Neural Autoregressive Flow

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

Stock Analysis Tutorial in Python

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

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"

Wayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Imhotep is a large-scale analytics platform built by Indeed.

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Extending broom for time series forecasting

AI on Hadoop

A collection of deep learning models implemented in PyTorch

Deep Learning for Astronomers with Tensorflow

Code for reproducing Flow ++ experiments

it's a small library for running trained Keras 2 models from a native C++ code.

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

Deep Learning for Julia

An Engine-Agnostic Deep Learning Framework in Java

Live Quant Trading Framework for Robinhood, using IEX Trading and AlphaVantage for Free Prices.

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.

Machine Learning University: Accelerated Natural Language Processing Class

1st place solution

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

Deep learning meets molecular dynamics.

Implementation of simple autoencoders networks with Keras

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

Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.

Machine reading comprehension on clinical case reports

Fast & scalable MCMC for all your exoplanet needs!

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

A tool for retrosynthetic planning

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

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Unity Machine Learning Agents Toolkit

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

Realtime animated graphs with PubNub and C3.

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

The Open Source Time-Series Data Historian

A Time Series Data Browser

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

Various CNN models for CIFAR10 with Chainer

A machine learning toolkit dedicated to time-series data

A tiny neural network 🧠

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

AutoML frAmework for Neural Networks

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

Variational Autoencoder for Dimensionality Reduction of Time-Series

Implementation of time series compression method from the Facebook's Gorilla paper

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".