FLAML
Machine learning automator
Automates machine learning workflows and optimizes model performance using large language models and efficient algorithms
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
4k stars
59 watching
515 forks
Language: Jupyter Notebook
last commit: almost 2 years agoLinked from 3 awesome lists
automated-machine-learningautomlclassificationdata-sciencedeep-learningfinetuninghyperparamhyperparameter-optimizationjupyter-notebookmachine-learningnatural-language-generationnatural-language-processingpythonrandom-forestregressionscikit-learntabular-datatimeseries-forecastingtuning
ethicalml/awesome-production-machine-learning
kelvins/awesome-mlops
windmaple/awesome-automlRelated projects:
| Repository | Description | Stars |
|---|---|---|
 autogluon/autogluon | Automates machine learning tasks to train accurate models in just a few lines of code | 8,167 |
 automl/auto-pytorch | An automatic deep learning framework that jointly optimizes network architecture and training hyperparameters. | 2,385 |
| microsoft/autogen | A framework for building AI agent systems that enables the creation of autonomous applications with multiple large language models and advanced design patterns. | 35,795 |
 optimalscale/lmflow | A toolkit for fine-tuning and inferring large machine learning models | 8,312 |
| microsoft/qlib | An AI-oriented quantitative investment platform that supports machine learning modeling and automated trading. | 15,767 |
 postgresml/postgresml | An open-source Postgres extension for machine learning and AI operations directly within the database. | 6,070 |
 fminference/flexllmgen | Generates large language model outputs in high-throughput mode on single GPUs | 9,236 |
 aimclub/fedot | An automated machine learning framework that generates optimal machine learning pipelines for various real-world problems. | 649 |
 nlpxucan/wizardlm | Large pre-trained language models trained to follow complex instructions using an evolutionary instruction framework | 9,295 |
 mljar/mljar-supervised | Automated Machine Learning library for Python that streamlines data preparation, model selection, and hyperparameter tuning for tabular data. | 3,081 |
 autogptq/autogptq | A package for optimizing large language models for efficient inference on GPUs and other hardware platforms. | 4,560 |
 openbmb/bmtools | Tools and platform for building and extending large language models | 2,907 |
 significant-gravitas/autogpt | A platform for building and deploying autonomous AI agents to automate complex workflows | 169,186 |
| microsoft/lmops | A research initiative focused on developing fundamental technology to improve the performance and efficiency of large language models. | 3,747 |
 eleutherai/gpt-neox | Provides a framework for training large-scale language models on GPUs with advanced features and optimizations. | 6,997 |