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290 search results found
Ray
⭐
29,596
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.
Best Of Ml Python
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14,990
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Nni
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13,725
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Tpot
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9,516
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Autokeras
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9,067
AutoML library for deep learning
Auto Sklearn
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7,262
Automated Machine Learning with scikit-learn
Autogluon
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7,205
Fast and Accurate ML in 3 Lines of Code
Featuretools
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7,109
An open source python library for automated feature engineering
H2o 3
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6,618
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.
Flaml
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3,500
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Statsforecast
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3,339
Lightning ⚡️ fast forecasting with statistical and econometric models.
Adanet
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3,309
Fast and flexible AutoML with learning guarantees.
Awesome Mlops
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3,233
😎 A curated list of awesome MLOps tools
Igel
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3,037
a delightful machine learning tool that allows you to train, test, and use models without writing code
Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Keras Tuner
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2,795
A Hyperparameter Tuning Library for Keras
Darts
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2,775
Differentiable architecture search for convolutional and recurrent networks
Pocketflow
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2,553
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Forecasting
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2,540
Time Series Forecasting Best Practices & Examples
Lazypredict
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2,275
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Machine Learning
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2,260
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Auto Pytorch
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2,158
Automatic architecture search and hyperparameter optimization for PyTorch
Libra
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1,927
Ergonomic machine learning for everyone.
Sparseml
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1,910
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Once For All
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1,777
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Automl Gs
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1,642
Provide an input CSV and a target field to predict, generate a model + code to run it.
Pysr
⭐
1,580
High-Performance Symbolic Regression in Python and Julia
Autoviz
⭐
1,550
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Cream
⭐
1,446
This is a collection of our NAS and Vision Transformer work.
Auto_ml
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1,442
[UNMAINTAINED] Automated machine learning for analytics & production
H2o Tutorials
⭐
1,403
Tutorials and training material for the H2O Machine Learning Platform
Mlbox
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1,403
MLBox is a powerful Automated Machine Learning python library.
Easyrec
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1,374
A framework for large scale recommendation algorithms.
Fast Autoaugment
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1,358
Official Implementation of 'Fast AutoAugment' in PyTorch.
Modelfox
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1,354
ModelFox makes it easy to train, deploy, and monitor machine learning models.
Efficientdet
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1,306
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
Tods
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1,078
TODS: An Automated Time-series Outlier Detection System
Autogl
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1,035
An autoML framework & toolkit for machine learning on graphs.
Morph Net
⭐
1,010
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Alphapy
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1,003
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Autodl
⭐
999
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Tensorflow 101
⭐
987
TensorFlow 101: Introduction to Deep Learning
Smac3
⭐
938
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Autots
⭐
935
Automated Time Series Forecasting
Otto
⭐
913
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
Devol
⭐
910
Genetic neural architecture search with Keras
Medmnist
⭐
903
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Vega
⭐
790
AutoML tools chain
Lightautoml
⭐
769
LAMA - automatic model creation framework
Kaggler
⭐
723
Code for Kaggle Data Science Competitions
Evalml
⭐
679
EvalML is an AutoML library written in python.
Lightautoml
⭐
678
Fast and customizable framework for automatic ML model creation (AutoML)
Tinyml
⭐
661
Luminaire
⭐
660
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Auto_ts
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634
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.
Fedot
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582
Automated modeling and machine learning framework FEDOT
Hpbandster
⭐
551
a distributed Hyperband implementation on Steroids
Neuraxle
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533
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Atm
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481
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Chan.py
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481
开放式的缠论python实现框架,支持形态学/动力学买卖点分析计算,多级别K线联立,区间套策略,可视
Auto_viml
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473
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Tune Sklearn
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461
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Agilerl
⭐
457
Streamlining reinforcement learning with RLOps
Compose
⭐
449
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
Naslib
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448
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
Pyaf
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438
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Archai
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428
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Machinejs
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412
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Autofeat
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410
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Sapientml
⭐
407
Generative AutoML for Tabular Data
Carefree Learn
⭐
400
Deep Learning ❤️ PyTorch
Pba
⭐
400
Efficient Learning of Augmentation Policy Schedules
Lightwood
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394
Lightwood is Legos for Machine Learning.
Automlbenchmark
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350
OpenML AutoML Benchmarking Framework
Deep Learning
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333
深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……
Lale
⭐
321
Library for Semi-Automated Data Science
Pyglove
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311
Manipulating Python Programs
Sparsify
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310
ML model optimization product to accelerate inference.
Hypergbm
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306
A full pipeline AutoML tool for tabular data
Gradsflow
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303
An open-source AutoML Library based on PyTorch
Pnasnet.pytorch
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299
PyTorch implementation of PNASNet-5 on ImageNet
Scalecast
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292
The practitioner's forecasting library
Autovideo
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284
AutoVideo: An Automated Video Action Recognition System
Lightweight Neural Architecture Search
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283
This is a collection of our zero-cost NAS and efficient vision applications.
Upgini
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272
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
My Data Competition Experience
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271
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
Naszilla
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269
Naszilla is a Python library for neural architecture search (NAS)
Hypernets
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256
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Deephyper
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253
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Haq
⭐
245
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Only_train_once
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242
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, LLM
Sklearn Genetic Opt
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236
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Aw_nas
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230
aw_nas: A Modularized and Extensible NAS Framework
Hyperts
⭐
225
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Ace
⭐
223
[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction
Nascell Automl
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223
Co Teaching
⭐
222
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Active Learning As A Service
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206
A scalable & efficient active learning/data selection system for everyone.
Autogoal
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203
A Python framework for program synthesis with a focus on Automated Machine Learning.
Awesome Edge Machine Learning
⭐
200
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
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