270 Open source projects that are alternatives of or similar to Mlprimitives

A web-based dashboard for Deep Learning

Tibanna helps you run your genomic pipelines on Amazon cloud (AWS). It is used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center) to process data. Tibanna supports CWL/WDL (w/ docker), Snakemake (w/ conda) and custom Docker/shell command.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

Tuning hyperparams fast with Hyperband

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

IceCI is a continuous integration system designed for Kubernetes from the ground up.

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

NAS-Bench-201 API and Instruction

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Merlion: A Machine Learning Framework for Time Series Intelligence

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

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

A Julia machine learning framework

Efficient Learning of Augmentation Policy Schedules

Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Automated modeling and machine learning framework FEDOT

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

A Python framework for program synthesis with a focus on Automated Machine Learning.

Elyra extends JupyterLab Notebooks with an AI centric approach.

Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Kubeflow pipelines built on top of Tensorflow TFX library

Concourse is a container-based continuous thing-doer written in Go.

This is an simple example of tagging bank transactions with ML.NET

Google Brain AutoML

Encodings for neural architecture search

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

Genetic neural architecture search with Keras

A lightweight stream processing library for Go

Fast and flexible AutoML with learning guarantees.

🏵 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

The Refreshingly Simple Cross-Platform C++ Dataflow / Pipelining / Stream Processing / Reactive Programming Framework

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

An experimental programming language for data flow

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Fast & Simple Resource-Constrained Learning of Deep Network Structure

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Black box hyperparameter optimization made easy.

An open source python library for automated feature engineering

AutoVideo: An Automated Video Action Recognition System

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Data System for Optimized Deep Learning Model Selection

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

Automated machine learning package

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

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

A framework for large scale recommendation algorithms.

Code for Kaggle Data Science Competitions

ZazuML - easy AutoML for Object Detection

A task for Azure DevOps Pipelines to run newman tests.

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Differentiable architecture search for convolutional and recurrent networks

Diviner is a serverless machine learning and hyper parameter tuning platform

ADENINE: A Data ExploratioN PipelINE

Cross platform sign language translation with mediapipe

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