awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
https://github.com/windmaple/awesome-AutoML
Last synced: 2 days ago
JSON representation
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Research papers
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Neural Architecture Search
- Regularized Evolution for Image Classifier Architecture Search
- Efficient Architecture Search by Network Transformation
- Large-Scale Evolution of Image Classifiers
- Progressive Neural Architecture Search
- AdaNet: Adaptive Structural Learning of Artificial Neural Networks
- Learning Transferable Architectures for Scalable Image Recognition
- EfficientNet-EdgeTPU: Creating Accelerator-Optimized Neural Networks with AutoML
- Accelerating Neural Architecture Search for Natural Language Processing with Knowledge Distillation and Earth Mover's Distance
- DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
- Neural Architecture Search using Property Guided Synthesis
- AlphaNet: Improved Training of Supernets with Alpha-Divergence
- AutoSpace: Neural Architecture Search with Less Human Interference
- CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
- MCUNet: Tiny Deep Learning on IoT Devices
- Graph HyperNetworks for Neural Architecture Search
- AlphaGo Moment for Model Architecture Discovery
- AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
- NAAS: Neural Accelerator Architecture Search
- ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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Neural Architecture Search benchmark
- NAS-Bench-101: Towards Reproducible Neural Architecture Search - [code](https://github.com/google-research/nasbench)
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Neural Optimizatizer Search
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Prompt search
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Quantization
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Quantum computing
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Recommendation systems
- Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale
- AutoML for Deep Recommender Systems: A Survey
- Automated Machine Learning for Deep Recommender Systems: A Survey
- AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
- Learnable Embedding Sizes for Recommender Systems
- AMER: Automatic Behavior Modeling and Interaction Exploration in Recommender System
- AIM: Automatic Interaction Machine for Click-Through Rate Prediction
- Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
- Neural Input Search for Large Scale Recommendation Models
- AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems
- AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction
- AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction
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Reinforcement learning
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Tech to speech
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Tools and projects
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LLM
- AutoGluon
- H2O AutoML
- Ray Tune
- TransmogrifAI
- AutoKeras
- TPOT - source software packages
- Optuna - by-run hypterparameter optimization framework
- Falcon
- MindWare - source AutoML System
- AutoDL
- AutoGL
- MLBox
- FLAML - us/research/publication/flaml-a-fast-and-lightweight-automl-library/))
- Hypernets
- Cooka
- Vegas
- TransmogrifAI
- Model Search
- hyperunity - box hyperparameter optimisation
- auptimizer
- Keras Tuner
- Torchmeta - Learning library for PyTorch
- learn2learn - learning Framework for Researchers
- Auto-PyTorch
- ATM: Auto Tune Models - tenant, multi-data system for automated machine learning (model selection and tuning)
- Adanet: Fast and flexible AutoML with learning guarantees
- Microsoft Neural Network Intelligence (NNI) - parameter tuning
- Dragonfly
- H2O AutoML
- Kubernetes Katib
- Advisor - source implementation of Google Vizier for hyper parameters tuning
- AutoSklearn - in replacement for a scikit-learn estimator
- automl-gs
- SMAC - based Algorithm Configuration
- Hyperopt-sklearn - parameter optimization for sklearn
- Spearmint
- MOE
- Hyperband
- RoBO
- HpBandSter
- Hyperopt
- REMBO - dimensions via random embedding
- FeatureTools
- EvalML
- PocketFlow
- DEvol (DeepEvolution)
- mljar-supervised
- Determined
- NASGym - of-concept OpenAI Gym environment for Neural Architecture Search (NAS)
- Archai
- autoBOT
- autoai
- Ludwig
- FEDOT
- Karpathy's autosearch
- Google DeepMind Simply
- neuropt - guided hyperparameter optimization and Neural Architecture Search — the LLM reads per-epoch training curves and designs the next experiment.
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Categories
Sub Categories
Neural Architecture Search
119
LLM
106
Recommendation systems
13
Hyperparameter optimization
13
AutoML survey
12
Learning to learn/Meta-learning
9
AutoAugment
6
Prompt search
4
Reinforcement learning
3
Quantum computing
3
Federated Neural Architecture Search
2
Neural Optimizatizer Search
2
Automatic feature selection
2
Graph neural network
2
Neural Architecture Search benchmark
1
AutoDropout
1
Tech to speech
1
AutoDistill
1
Quantization
1
Model compression
1
Bandits
1
Activation function Search
1
Keywords
automl
27
machine-learning
22
hyperparameter-optimization
16
deep-learning
15
automated-machine-learning
12
neural-architecture-search
11
data-science
11
hyperparameter-tuning
9
pytorch
9
python
9
tensorflow
7
bayesian-optimization
6
keras
6
feature-engineering
5
meta-learning
4
nas
4
ml
4
ai
4
scikit-learn
4
model-compression
3
xgboost
3
random-forest
3
neural-network
3
optimization
3
lightgbm
3
hyperparameter-search
3
mlops
3
distributed
2
hyperparameters
2
model-selection
2
autodl
2
computer-vision
2
metalearning
2
reinforcement-learning
2
distributed-training
2
ensemble
2
kubernetes
2
hyper-parameter-optimization
2
automated-feature-engineering
2
classification
2
finetuning
2
regression
2
tabular-data
2
transformations
1
structured-data
1
salesforce
1
pipelines
1
sparkml
1
transformers
1
transmogrification
1