Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/codelibs/docker-fione
Docker for Fione
ai automl data-science machine-learning
Last synced: 03 Jul 2024
https://github.com/haofanwang/Awesome-Computer-Vision
Awesome Resources for Advanced Computer Vision Topics
3d-vision adversarial-attacks automl awesome-list computer-vision deep-learning denoising gan graph-neural-network interpretability object-detection paper pose-estimation super-resolution trajectory-prediction transfer-learning video-analysis vision-and-language vision-project
Last synced: 03 Jul 2024
https://github.com/guan-yuan/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.
architecture-search automated-feature-engineering automl awesome-list hyperparameter-optimization meta-learning model-acceleration model-compression nas neural-architecture-search pytorch quantization quantized-neural-network quantized-training tensorflow
Last synced: 02 Jul 2024
https://github.com/joeddav/devol
Genetic neural architecture search with Keras
automl computer-vision deep-learning genetic-algorithm keras machine-learning neural-architecture-search
Last synced: 02 Jul 2024
https://github.com/herilalaina/mosaic_ml
AutoML with MCTS
automl hyperparameter-optimization pipeline-configuration
Last synced: 01 Jul 2024
https://github.com/keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
automl deep-learning hyperparameter-optimization keras machine-learning tensorflow
Last synced: 29 Jun 2024
https://github.com/microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning
Last synced: 27 Jun 2024
https://github.com/alteryx/evalml
EvalML is an AutoML library written in python.
automl data-science feature-engineering feature-selection hyperparameter-tuning machine-learning model-selection optimization
Last synced: 27 Jun 2024
https://github.com/D-X-Y/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
autodl automl nas neural-architecture-search pytorch
Last synced: 24 Jun 2024
https://github.com/ISG-Siegen/Auto-Surprise
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:
automated-machine-learning automl hyperopt hyperparameter-search hyperparameter-tuning machine-learning recommender-system surprise tpe
Last synced: 24 Jun 2024
https://github.com/thomas-young-2013/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
automated-machine-learning automation automl automl-algorithms bayesian-optimization data-science deep-learning ensemble-learning feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-models machine-learning-projects machinelearning machinelearning-python pypi python
Last synced: 24 Jun 2024
https://github.com/yangfenglong/mAML1.0
Automated machine learning model building pipeline for microbiome data
Last synced: 24 Jun 2024
https://github.com/knowledge-learning/hp-optimization
A framework based on grammatical evolution for automatic pipeline configuration.
automl grammatical-evolution machine-learning python
Last synced: 24 Jun 2024
https://github.com/laic-ufmg/automlc
Automated Multi-label Classification
automl genetic-programming grammar java
Last synced: 24 Jun 2024
https://github.com/MLBazaar/Cardea
An open source automl library for using machine learning in healthcare.
automl healthcare machine-learning
Last synced: 24 Jun 2024
https://github.com/VITA-Group/AutoSpeech
[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
automl autospeech neural-architecture-search pytorch speaker-recognition
Last synced: 24 Jun 2024
https://github.com/nitishkthakur/automlib
AutoML Python package with ML models with builtin Hyperparameter Optimization and easy to use API.
automl automl-api hyperparameter-optimization learning machine machine-learning machine-learning-algorithms machinelearning ml optimization optimization-algorithms particle-swarm-optimization python python-3 python3 tune
Last synced: 24 Jun 2024
https://github.com/cmusatyalab/OpenTPOD
Open Toolkit for Painless Object Detection
automl custom-vision custom-vision-api deep-learning deep-neural-network deep-neural-networks django django-rest-framework dnn fine-tuning object-detection object-detection-api object-detection-model object-detection-pipelines object-detection-tutorial reactjs tensorflow tensorflow-models tensorflow-serving transfer-learning
Last synced: 24 Jun 2024
https://github.com/xiaomi-automl/FairDARTS
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
Last synced: 24 Jun 2024
https://github.com/u1234x1234/AutoSpeech2020
1st place solution to Automated Machine Learning https://www.automl.ai/competitions/2
automated-machine-learning automl ray-tune
Last synced: 24 Jun 2024
https://github.com/ealcobaca/pymfe
Python Meta-Feature Extractor package.
automl machine-learning meta-feature meta-features meta-learning metalearning
Last synced: 24 Jun 2024
https://github.com/AlexImb/automl-streams
AutoML framework for implementing automated machine learning on data streams
automl data-streams scikit-learn
Last synced: 24 Jun 2024
https://github.com/kakaobrain/autoclint
A specially designed light version of Fast AutoAugment
1st-place autocv-challenge autocv2-challenge autodl-challenge automated-machine-learning automl cnn computer-vision convolutional-neural-networks deep-learning fast-auto-augment image-classification pytorch
Last synced: 24 Jun 2024
https://github.com/google-research/morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
automl deep-learning machine-learning neural-architecture-search python tensorflow
Last synced: 24 Jun 2024
https://github.com/NoamRosenberg/autodeeplab
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
architecture-search automl nas
Last synced: 24 Jun 2024
https://github.com/kakaobrain/fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
augmentation automated-machine-learning automl cnn computer-vision convolutional-neural-networks deep-learning distributed image-classification pytorch
Last synced: 24 Jun 2024
https://github.com/arberzela/EfficientNAS
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
automl convolutional-neural-networks deep-learning image-classification neural-architecture-search pytorch
Last synced: 24 Jun 2024
https://github.com/giantcroc/featuretoolsOnSpark
A simplified version of featuretools for Spark
automated-feature-engineering automated-machine-learning automl deep-feature-synthesis feature-engineering featuretools machine-learning python spark
Last synced: 24 Jun 2024
https://github.com/HDI-Project/ATM
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
automl data-science distributed-computing hyperparameter-optimization machine-learning
Last synced: 24 Jun 2024
https://github.com/lai-bluejay/diego
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic algorithms for automated machine learning. Inspired by [Fast.ai](https://github.com/fastai/fastai).
automl autosklearn bayesian-optimization generation-algorithms hyperparameter-optimization machine-learning scikit-learn
Last synced: 24 Jun 2024
https://github.com/ksachdeva/scikit-nni
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
automl hyperparameter-search hyperparameters neural-network-intelligence nni scikit-learn scikit-learn-api sklearn sklearn-library tool
Last synced: 24 Jun 2024
https://github.com/wywongbd/autocluster
AutoML for clustering models in sklearn.
automl bayesian-optimization clustering hyperparameter-optimization
Last synced: 24 Jun 2024
https://github.com/accurat/ackeras
AutoML library for Accurat, based on AutoKeras and Scikit-Learn.
Last synced: 24 Jun 2024
https://github.com/gomerudo/auto-ml
An Automated Machine Learning solution
automl machine-learning python3
Last synced: 24 Jun 2024
https://github.com/MainRo/xgbtune
a library to tune xgboost models
automl automl-algorithms gradient-boosting hyperparameter-optimization hyperparameter-tuning machine-learning parameter-tuning tuning-parameters xgboost
Last synced: 24 Jun 2024
https://github.com/BartekPog/modelcreator
Simple python package for creating predictive models
automl estimator machine-learning model-selection package predictive-modeling python sklearn
Last synced: 24 Jun 2024
https://github.com/Media-Smart/volkstuner
An easy to use hyperparameter tuner
automl hyperparameter-tuning mxnet python pytorch tensortflow
Last synced: 24 Jun 2024
https://github.com/CleverInsight/cognito
🚀🤖 Cognito - Simplifies AutoML Data Preprocessing.
automl data-munging data-preperation data-preprocessing data-wrangling
Last synced: 24 Jun 2024
https://github.com/societe-generale/aikit
Automated machine learning package
automl data-science machine-learning python
Last synced: 24 Jun 2024
https://github.com/Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Last synced: 24 Jun 2024
https://github.com/auto-flow/auto-flow
AutoFlow : Automatic machine learning workflow modeling platform
automl catboost data-minig data-sicence lightgbm machine-learning workflow
Last synced: 24 Jun 2024
https://github.com/cod3licious/autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
automated-data-science automated-feature-engineering automated-machine-learning automl feature-engineering feature-selection linear-regression machine-learning machine-learning-models
Last synced: 24 Jun 2024
https://github.com/autogoal/autogoal
A Python framework for program synthesis with a focus on Automated Machine Learning.
automl framework machine-learning optimization program-synthesis python3
Last synced: 24 Jun 2024
https://github.com/dataloop-ai/AutoML
ZazuML - easy AutoML for Object Detection
Last synced: 24 Jun 2024
https://github.com/Ashton-Sidhu/aethos
Automated Data Science and Machine Learning library to optimize workflow.
analysts automation automl data-science data-scientists data-visualization engineers machine-learning machine-learning-engineers machinelearning
Last synced: 24 Jun 2024
https://github.com/deephyper/deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
autodl automl deep-learning deep-neural-networks hpc hyperparameter-optimization hyperparameter-search keras machine-learning ml multi-fidelity neural-architecture-search python pytorch scalability tensorflow uncertainty-quantification
Last synced: 24 Jun 2024
https://github.com/MLBazaar/BTB
A simple, extensible library for developing AutoML systems
automl gaussian-processes hyperparameter-optimization multi-armed-bandit
Last synced: 24 Jun 2024
https://github.com/MLBazaar/AutoBazaar
AutoBazaar: An AutoML System from the Machine Learning Bazaar
automl d3m machine-learning machine-learning-bazaar
Last synced: 24 Jun 2024
https://github.com/NVIDIA/Milano
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
automl deep-learning deep-neural-networks hyperparameter-optimization hyperparameter-tuning machine-learning
Last synced: 24 Jun 2024
https://github.com/awslabs/adatune
Gradient based Hyperparameter Tuning library in PyTorch
automl deep-learning hyperparameter-tuning learning-rate-scheduling machine-learning neural-networks pytorch
Last synced: 24 Jun 2024
https://github.com/eug/discriminative-ai-resources
Personal Artificial Intelligence Resources List
artificial-intelligence automated-machine-learning automl data-science deep-learning machine-learning natural-language-processing statistics
Last synced: 24 Jun 2024
https://github.com/YIWEI-CHEN/awesome-automated-machine-learning
A curated list of awesome automated machine learning resources
automated-deep-learning automated-feature-engineering automated-machine-learning automated-model-selection automl neural-architecture-search
Last synced: 24 Jun 2024
https://github.com/oskar-j/awesome-auto-ml
Awesome list of AutoML frameworks - curated by @oskar-j
automl awesome-list feature-engineering hyperparameter-tuning machine-learning model-tuning
Last synced: 24 Jun 2024
https://github.com/anonymone/Neural-Architecture-Search
This repo is about NAS
automl deep-neural-networks efficient-architecture-search nas neural-architecture-search optimization paper
Last synced: 24 Jun 2024
https://github.com/lihanghang/Deep-learning-And-Paper
【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等
ai automl book deep-learning meachinelearning papers sentiment-classification speaker-verification speech-recognition speech-to-text
Last synced: 24 Jun 2024
https://github.com/LARS-research/AutoSF
Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
automl graph-embedding knowledge-graph
Last synced: 23 Jun 2024
https://microsoft.github.io/FLAML/
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning
Last synced: 21 Jun 2024
http://epistasislab.github.io/tpot/
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 21 Jun 2024
https://github.com/yzkang/My-Data-Competition-Experience
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
automl catboost data-science deep-learning feature-engineering feature-selection gan hyperparameter-optimization kaggle-competition lightgbm machine-learning model-fusion model-selection python sql tianchi-competition xgboost
Last synced: 20 Jun 2024
https://github.com/ClimbsRocks/machineJS
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
auto-ml automated-machine-learning automl data-science data-scientists javascript javascript-library kaggle machine-learning machine-learning-algorithms machine-learning-library ml numerai scikit-learn
Last synced: 17 Jun 2024
https://epistasislab.github.io/tpot/
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833
Last synced: 15 Jun 2024
https://github.com/stochasticai/x-stable-diffusion
Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6
aitemplate automl cuda docker inference notebook nvfuser onnx onnxruntime pytorch stable-diffusion tensorrt
Last synced: 14 Jun 2024
https://github.com/DataCanvasIO/HyperGBM
A full pipeline AutoML tool for tabular data
adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost
Last synced: 13 Jun 2024
https://github.com/antoinecarme/pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
arx automatic-forecasting automl autoregressive benchmark cycle exogenous forecasting hierarchical-forecasting horizon jupyter machine-learning pandas python scikit-learn seasonal signal-decomposition time-series transformation trend
Last synced: 07 Jun 2024
https://github.com/AutoViML/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
arima auto-arima auto-sklearn auto-timeseries autokeras automl autosklearn prophet python python3 sklearn time-series time-series-analysis tpot
Last synced: 07 Jun 2024
https://github.com/lightforever/mlcomp
Distributed DAG (Directed acyclic graph) framework for machine learning with UI
artificial-intelligence automl computer-vision deep-learning distributed-computing infrastructure machine-learning python pytorch research
Last synced: 07 Jun 2024
https://github.com/georgian-io-archive/foreshadow
An automatic machine learning system
automatic-machine-learning automl machine-learning pandas python sklearn
Last synced: 04 Jun 2024
https://github.com/superchordate/storyteller
AutoML R framework functions for quickly finding stories from data.
automl eda exploratory-data-analysis r
Last synced: 03 Jun 2024
https://github.com/modelfoxdotdev/modelfox
ModelFox makes it easy to train, deploy, and monitor machine learning models.
automl developer-tools elixir elixir-lang go golang javascript js machine-learning mlops python python3 ruby ruby-on-rails rust rust-crate rust-lang rust-library rustlang
Last synced: 02 Jun 2024
https://github.com/openml/automlbenchmark
OpenML AutoML Benchmarking Framework
automl benchmark machine-learning
Last synced: 01 Jun 2024
https://github.com/google/automl
Google Brain AutoML
automl efficientdet efficientnet efficientnetv2 object-detection
Last synced: 01 Jun 2024
https://github.com/google/nitroml
NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
automl benchmarking kubeflow machine-learning model-quality modular portable python scale tfx
Last synced: 01 Jun 2024
https://github.com/winedarksea/AutoTS
Automated Time Series Forecasting
automl autots deep-learning feature-engineering forecasting machine-learning preprocessing time-series
Last synced: 31 May 2024
https://github.com/automl/DeepCAVE
An interactive framework to visualize and analyze your AutoML process in real-time.
analysis automl hyperparameter-importance hyperparameters iml interactive real-time sampling-bias visualization
Last synced: 31 May 2024
https://github.com/mlpapers/automl
Awesome papers on AutoML (Automatic Machine Learning)
automatic-machine-learning automl automl-algorithms awesome awesome-list
Last synced: 27 May 2024
https://github.com/MilesCranmer/SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning sciml symbolic symbolic-computation symbolic-regression
Last synced: 21 May 2024
https://github.com/MilesCranmer/PySR
High-Performance Symbolic Regression in Python and Julia
algorithm automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning numpy python scikit-learn symbolic symbolic-regression
Last synced: 21 May 2024
https://github.com/IBM/AutoMLPipeline.jl
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
automl chaining classification data-mining data-mining-algorithms data-science ensemble-learning julia machine-learning machine-learning-models pipeline pipeline-optimization pipeline-structure scikitlearn-wrapper stacking symbolic-expressions symbolic-pipeline
Last synced: 21 May 2024
https://github.com/microsoft/petridishnn
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
automl cifar-100 cifar10 deep-learning deep-learning-algorithms image-classification imagenet neural-architecture-search
Last synced: 20 May 2024
https://github.com/ibm/lale
Library for Semi-Automated Data Science
artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn
Last synced: 20 May 2024
https://lge-arc-advancedai.github.io/auptimizer/
An automatic ML model optimization tool.
automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks
Last synced: 20 May 2024
https://nvidia.github.io/Milano/
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
automl deep-learning deep-neural-networks hyperparameter-optimization hyperparameter-tuning machine-learning
Last synced: 20 May 2024
https://automl.github.io/HpBandSter/
a distributed Hyperband implementation on Steroids
automated-machine-learning automl bayesian-optimization hyperparameter-optimization neural-architecture-search
Last synced: 20 May 2024
https://github.com/laic-ufmg/Recipe
Automated machine learning (AutoML) with grammar-based genetic programming
automl genetic-programming grammar grammar-based-genetic-programming recipe scikit-learn
Last synced: 20 May 2024
https://github.com/flytxtds/AutoGBT
AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.
automl concept-drift hyperopt lifelong-ml nips-2018
Last synced: 20 May 2024
https://github.com/pfnet-research/autogbt-alt
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
automl gradient-boosting kaggle lightgbm machine-learning python
Last synced: 20 May 2024
https://github.com/DataCanvasIO/HyperTS
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
anomaly-detection autodl automl autots classification covariates forecasting hyperparameter-optimization iforest inceptiontime lstnet meta-features multivariate nbeats neural-architecture-search prophet regression tensorflow time-series
Last synced: 20 May 2024
https://github.com/laresbernardo/lares
Analytics & Machine Learning R Sidekick
analytics api automation automl data-science descriptive-statistics h2o machine-learning marketing mmm predictive-modeling puzzle r r-package rlanguage robyn rstats visualization
Last synced: 20 May 2024
https://github.com/neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
automl computer-vision-algorithms deep-learning-algorithms deep-learning-library deep-learning-models image-classification keras nlp object-detection onnx pruning pruning-algorithms pytorch smaller-models sparsification sparsification-recipes sparsity tensorflow transfer-learning
Last synced: 19 May 2024
https://github.com/mit-han-lab/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
acceleration automl edge-ai efficient-model nas tinyml
Last synced: 19 May 2024
https://github.com/kubeflow/katib
Automated Machine Learning on Kubernetes
ai automl huggingface hyperparameter-tuning jax kubeflow kubernetes llm machine-learning mlops neural-architecture-search pytorch scikit-learn tensorflow
Last synced: 19 May 2024
https://github.com/ThyrixYang/awesome-artificial-intelligence-research
A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
artificial-intelligence automl awesome-list computer-vision deep-learning detection domain-adaptation generative-adversarial-network graph-neural-networks incremental-learning interpretability machine-learning meta-learning natural-language-processing paper recognition reinforcement-learning reinforcement-learning-resources self-supervised-learning transfer-learning
Last synced: 19 May 2024
https://github.com/MLSysOps/Active-Learning-as-a-Service
A scalable & efficient active learning/data selection system for everyone.
active-learning automl deep-learning machine-learning mlops mlsys pytorch
Last synced: 18 May 2024
https://github.com/alibaba/lightweight-neural-architecture-search
This is a collection of our zero-cost NAS and efficient vision applications.
automl classfication cvpr2023 deepmad iclr2023 icml-2022 maedet nas neurips-2022 object-detection pytorch training-free-nas zennas zero-cost-nas
Last synced: 18 May 2024
https://github.com/upgini/upgini
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
automated-feature-engineering automl automl-pipeline chatgpt data-enrichment data-science feature-engineering feature-extraction feature-selection features kaggle kaggle-solution large-language-models llm machine-learning open-data open-datasets public-data python-library scikit-learn
Last synced: 18 May 2024
https://github.com/automl/NASLib
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.
automl nas neural-architecture-search
Last synced: 17 May 2024
https://keras-team.github.io/keras-tuner/
A Hyperparameter Tuning Library for Keras
automl deep-learning hyperparameter-optimization keras machine-learning tensorflow
Last synced: 17 May 2024
https://github.com/LGE-ARC-AdvancedAI/auptimizer
An automatic ML model optimization tool.
automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks
Last synced: 17 May 2024