EfficientnasTowards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
Awesome Automlcollecting related resources of automated machine learning here
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
AutodlAutomated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Morph NetFast & Simple Resource-Constrained Learning of Deep Network Structure
DevolGenetic neural architecture search with Keras
OttoOtto 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
DeepcameraOpen 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 ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
H1stThe 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 ModelsA 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.
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
FeaturetoolsAn open source python library for automated feature engineering
KagglerCode for Kaggle Data Science Competitions
HungabungaHungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
H2o 3H2O 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.
AutoglAn autoML framework & toolkit for machine learning on graphs.
Smac3Sequential Model-based Algorithm Configuration
EpsMachine learning for Ruby
AtmAuto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
PbaEfficient Learning of Augmentation Policy Schedules
Hpbandstera distributed Hyperband implementation on Steroids
Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
LazypredictLazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
MindsdbPredictive AI layer for existing databases.
Medmnist[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
LuminaireLuminaire is a python package that provides ML driven solutions for monitoring time series data.
AdanetFast and flexible AutoML with learning guarantees.
CodefunDataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL
AutomlZazuML - easy AutoML for Object Detection
DartsDifferentiable architecture search for convolutional and recurrent networks
Carefree LearnA minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch
AutovizAutomatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
TodsTODS: An Automated Time-series Outlier Detection System
Amc[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Awesome Automl PapersA curated list of automated machine learning papers, articles, tutorials, slides and projects
AutodeeplabAutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
MerlionMerlion: A Machine Learning Framework for Time Series Intelligence
Meta-SACAuto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
HyperGBMA full pipeline AutoML tool for tabular data
FEDOTAutomated modeling and machine learning framework FEDOT
sparsifyEasy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint
autogoalA Python framework for program synthesis with a focus on Automated Machine Learning.
RecipeAutomated machine learning (AutoML) with grammar-based genetic programming
autodoOfficial PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"
Auto-SurpriseAn AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
gcp-mlGoogle Cloud Platform Machine Learning Samples
AutoSFY. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
allie🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).
codeflareSimplifying the definition and execution, scaling and deployment of pipelines on the cloud.
autovideoAutoVideo: An Automated Video Action Recognition System