auptimizer
Model optimizer
Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing.
An automatic ML model optimization tool.
200 stars
21 watching
28 forks
Language: Python
last commit: almost 2 years ago
Linked from 2 awesome lists
automated-machine-learningautomldata-engineeringdata-sciencedeep-learninghpohyperparameter-optimizationhyperparameter-tuningmachine-learningneural-networks
hibayesian/awesome-automl-papers
windmaple/awesome-automlRelated projects:
| Repository | Description | Stars |
|---|---|---|
 huntermcgushion/hyperparameter_hunter | Automates hyperparameter optimization and result saving across machine learning algorithms | 706 |
 semiotic-ai/autoagora | Automates cost modeling and optimization for indexers in blockchain networks using reinforcement learning and GraphQL APIs. | 11 |
 minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,853 |
 herilalaina/mosaic_ml | Automated machine learning with tree search optimization | 16 |
 guopengf/auto-fedrl | A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments. | 15 |
 automl/smac3 | An optimization framework for machine learning hyperparameters | 1,085 |
 lyogavin/anima | An optimization technique for large language models allowing them to run on limited hardware resources without significant performance loss. | 6 |
 alibaba/conv-llava | This project presents an optimization technique for large-scale image models to reduce computational requirements while maintaining performance. | 104 |
 microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 467 |
 neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,071 |
 rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 314 |
 blobcity/autoai | A Python-based framework for automating the process of finding and training the best-performing machine learning model for regression and classification tasks on numerical data. | 174 |
 datacanvasio/hypergbm | An AutoML toolkit designed to automate the entire machine learning process pipeline for tabular data | 337 |
 kvcache-ai/ktransformers | A flexible framework for LLM inference optimizations with support for multiple models and architectures | 736 |
 locuslab/e2e-model-learning | Develops an approach to learning probabilistic models in stochastic optimization problems | 200 |