524 Open source projects that are alternatives of or similar to codeflare

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

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

State-of-the art Automated Machine Learning python library for Tabular Data

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

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

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

AutoGluon: AutoML for Text, Image, and Tabular Data

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Automated Machine Learning with scikit-learn

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Library for Semi-Automated Data Science

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Sequential Model-based Algorithm Configuration

An automatic machine learning system

A simple, extensible library for developing AutoML systems

An automatic ML model optimization tool.

Repository to host tool-specific module files for the Nextflow DSL2 community!

Event-driven workflow automation framework

Primitives for machine learning and data science.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

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

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

A graphical user interface for distributed data processing of high throughput genomics

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

[UNMAINTAINED] Automated machine learning for analytics & production

a distributed Hyperband implementation on Steroids

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.

Framework for large distributed pipelines

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

Automated modeling and machine learning framework FEDOT

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Polyaxon Core Client & CLI to streamline MLOps

Distribution transparent Machine Learning experiments on Apache Spark

Build container images with Knative + Gitlab + Harbor inside Kops cluster running on AWS

Optuna + LightGBM = OptGBM

A shell-friendly hyperparameter search tool inspired by Optuna

🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.

centurylinkcloud.github.io/mdw/

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

demonstrating use of convolution neural networks to detect objects in a video

Serverless Inferencing on Kubernetes

Open resource exchange platform for non-human primate neuroimaging

به فارسی، برای مشارکت scikit-learn

Python library for CMA Evolution Strategy.

A framework for large scale recommendation algorithms.

A GitHub Action to wrap Nrwl Nx commands in your workflows.

Examples for https://github.com/optuna/optuna

🦅Hyperparameter optimization for machine learning pipelines 🦅

Machine Learning Tool Box

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

🏵 Gee is tool of stdin to each files and stdout. It is similar to the tee command, but there are more functions for convenience. In addition, it was written as go

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.