Top 154 automl open source projects

Efficientnas
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Awesome Automl
collecting related resources of automated machine learning here
Morph Net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Otto
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub
Deepcamera
Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.
Keras Idiomatic Programmer
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
H1st
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.
Awesome Automl And Lightweight Models
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.
Kaggler
Code for Kaggle Data Science Competitions
Hungabunga
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
H2o 3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Autogl
An autoML framework & toolkit for machine learning on graphs.
Eps
Machine learning for Ruby
Nas Bench 201
NAS-Bench-201 API and Instruction
Atm
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Machinejs
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Medmnist
[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Codefun
DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL
Automl
ZazuML - easy AutoML for Object Detection
✭ 319
pythonautoml
Carefree Learn
A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch
Autoviz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Pnasnet.pytorch
PyTorch implementation of PNASNet-5 on ImageNet
Tods
TODS: An Automated Time-series Outlier Detection System
✭ 299
pythonautoml
Amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Awesome Automl Papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Autodeeplab
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
Meta-SAC
Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
sparsify
Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint
autogoal
A Python framework for program synthesis with a focus on Automated Machine Learning.
Recipe
Automated machine learning (AutoML) with grammar-based genetic programming
autodo
Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"
Auto-Surprise
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
AutoSF
Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
codeflare
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
autovideo
AutoVideo: An Automated Video Action Recognition System
61-120 of 154 automl projects