1407 Open source projects that are alternatives of or similar to Horovod

AI on Hadoop

Visualizer for neural network, deep learning, and machine learning models

Code for polyaxon tutorials and examples

深度学习入门教程, 优秀文章, Deep Learning Tutorial

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

Recognition of Sign Language using Capsule Networks

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Machine Learning Operator & Controller for Kubernetes

Forecasting Solar Power: Analysis of using a LSTM Neural Network

A curated list of applied machine learning and data science notebooks and libraries across different industries.

machine learning and deep learning tutorials, articles and other resources

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

Code for Java Deep Learning Cookbook

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

http://js.baidu.com/

A MXNet implementation of Baidu's DeepSpeech architecture

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

Debugging, monitoring and visualization for Python Machine Learning and Data Science

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs

FastText for Node.js

Multiple implementations for abstractive text summurization , using google colab

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

All For NLP, especially Chinese.

A uniform interface to run deep learning models from multiple frameworks

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.

Data-centric declarative deep learning framework

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

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

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

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

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

ML Research paper summaries, annotated papers and implementation walkthroughs

Type4Py: Deep Similarity Learning-Based Type Inference for Python

yet another custom data science template via cookiecutter

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Framework of vectorized and distributed data analytics

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄

My presentation at ODSC India 2018 about Deep Learning with Apache Spark

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

A curated list of amazingly awesome Cybersecurity datasets

Tree LSTM implementation in PyTorch

This repository contains notes and projects of Data scientist track from dataquest course work.

A Graphical user Interface for deep learning and computer vision over Monk Libraries

CNN model inference benchmarks for some popular deep learning frameworks

AI開発プラットフォームKAMONOHASHI

Tools to Design or Visualize Architecture of Neural Network

Machine Learning Toolkit for Extreme Scale (MaTEx)

BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.

A large-scale entity and relation database supporting aggregation of properties

Demo applications showcasing DJL

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"