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Some thing interesting about automl
Some thing interesting about automl
automl,An open source python library for automated feature engineering
Organization: alteryx
Home Page: https://www.featuretools.com
automl,Fast and Accurate ML in 3 Lines of Code
Organization: autogluon
Home Page: https://auto.gluon.ai/
automl,Automatic architecture search and hyperparameter optimization for PyTorch
Organization: automl
automl,Automated Machine Learning with scikit-learn
Organization: automl
Home Page: https://automl.github.io/auto-sklearn
automl,Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
User: autoviml
automl,MLBox is a powerful Automated Machine Learning python library.
User: axelderomblay
Home Page: https://mlbox.readthedocs.io/en/latest/
automl,[UNMAINTAINED] Automated machine learning for analytics & production
User: climbsrocks
Home Page: http://auto-ml.readthedocs.io
automl,Automated deep learning algorithms implemented in PyTorch.
User: d-x-y
automl,Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
User: d-x-y
automl,TODS: An Automated Time-series Outlier Detection System
Organization: datamllab
Home Page: http://tods-doc.github.io
automl,Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Organization: deepwisdom
Home Page: http://fuzhi.ai
automl,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Organization: epistasislab
Home Page: http://epistasislab.github.io/tpot/
automl,Fast & Simple Resource-Constrained Learning of Deep Network Structure
Organization: google-research
automl,Google Brain AutoML
Organization: google
automl,Java and Kotlin Code samples used on cloud.google.com
Organization: googlecloudplatform
Home Page: https://cloud.google.com/java
automl,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.
Organization: h2oai
Home Page: http://h2o.ai
automl,A curated list of automated machine learning papers, articles, tutorials, slides and projects
User: hibayesian
automl,A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
User: huaizhengzhang
Home Page: https://ai-engineering.club/
automl,Official Implementation of 'Fast AutoAugment' in PyTorch.
Organization: kakaobrain
automl,AutoML library for deep learning
Organization: keras-team
Home Page: http://autokeras.com/
automl,A Hyperparameter Tuning Library for Keras
Organization: keras-team
Home Page: https://keras.io/keras_tuner/
automl,Automated Machine Learning on Kubernetes
Organization: kubeflow
Home Page: https://www.kubeflow.org/docs/components/katib
automl,A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Organization: metarank
Home Page: https://metarank.ai
automl,This is a collection of our NAS and Vision Transformer work.
Organization: microsoft
automl,A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Organization: microsoft
Home Page: https://microsoft.github.io/FLAML/
automl,An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Organization: microsoft
Home Page: https://nni.readthedocs.io
automl,High-Performance Symbolic Regression in Python and Julia
User: milescranmer
Home Page: https://astroautomata.com/PySR
automl,Provide an input CSV and a target field to predict, generate a model + code to run it.
User: minimaxir
automl,[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Organization: mit-han-lab
Home Page: https://ofa.mit.edu/
automl,[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Organization: mit-han-lab
Home Page: https://hanlab.mit.edu/projects/proxylessNAS/
automl,🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Organization: ml-tooling
Home Page: https://ml-python.best-of.org
automl,Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Organization: mljar
Home Page: https://mljar.com
automl,ModelFox makes it easy to train, deploy, and monitor machine learning models.
Organization: modelfoxdotdev
automl,Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Organization: neuralmagic
automl,a delightful machine learning tool that allows you to train, test, and use models without writing code
User: nidhaloff
Home Page: https://igel.readthedocs.io/en/latest/
automl,Lightning ⚡️ fast forecasting with statistical and econometric models.
Organization: nixtla
Home Page: https://nixtlaverse.nixtla.io/statsforecast
automl,Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Organization: openvinotoolkit
Home Page: https://openvinotoolkit.github.io/training_extensions/
automl,Differentiable architecture search for convolutional and recurrent networks
User: quark0
Home Page: https://arxiv.org/abs/1806.09055
automl,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Organization: ray-project
Home Page: https://ray.io
automl,Merlion: A Machine Learning Framework for Time Series Intelligence
Organization: salesforce
automl,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
Organization: salesforce
Home Page: https://transmogrif.ai
automl,TensorFlow 101: Introduction to Deep Learning
User: serengil
Home Page: https://www.youtube.com/watch?v=YjYIMs5ZOfc&list=PLsS_1RYmYQQGxpKV44jsxXNgjEpRoW61w&index=2
automl,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
User: shankarpandala
automl,An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Organization: tencent
Home Page: https://pocketflow.github.io
automl,cube studio开源云原生一站式机器学习/深度学习AI平台,支持sso登录,多租户/多项目组,大数据平台对接,notebook在线开发,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务VGPU,边缘计算,serverless,标注平台,自动化标注,数据集管理,大模型微调,vllm大模型推理,llmops,私有知识库,AI模型应用商店,支持模型一键开发/推理/微调,支持国产cpu/gpu/npu芯片,支持RDMA,支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式
Organization: tencentmusic
automl,Fast and flexible AutoML with learning guarantees.
Organization: tensorflow
Home Page: https://adanet.readthedocs.io
automl,An autoML framework & toolkit for machine learning on graphs.
Organization: thumnlab
Home Page: http://mn.cs.tsinghua.edu.cn/AutoGL/
automl,Open-source implementation of Google Vizier for hyper parameters tuning
User: tobegit3hub
Home Page: https://advisor.readthedocs.io
automl,ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Organization: zenml-io
Home Page: https://zenml.io
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.