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
510 forks
Language: Jupyter Notebook
last commit: 8 days ago
Linked from 3 awesome lists
automated-machine-learningautomlclassificationdata-sciencedeep-learningfinetuninghyperparamhyperparameter-optimizationjupyter-notebookmachine-learningnatural-language-generationnatural-language-processingpythonrandom-forestregressionscikit-learntabular-datatimeseries-forecastingtuning
Related projects:
Repository | Description | Stars |
---|---|---|
autogluon/autogluon | An automated machine learning framework that simplifies the process of building accurate predictive models from raw data, using minimal code and configuration. | 8,039 |
automl/auto-pytorch | An automatic deep learning framework that jointly optimizes network architecture and training hyperparameters. | 2,376 |
microsoft/autogen | A framework for building distributed AI agent systems with support for multiple large language models and scalable architectures | 34,101 |
optimalscale/lmflow | A toolkit for finetuning large language models and providing efficient inference capabilities | 8,273 |
microsoft/qlib | An AI-powered quantitative investment platform supporting diverse machine learning modeling paradigms | 15,549 |
postgresml/postgresml | An open-source Postgres extension for machine learning and AI operations directly within the database. | 6,033 |
fminference/flexllmgen | Generates large language model outputs in high-throughput mode on single GPUs | 9,192 |
aimclub/fedot | An automated machine learning framework that generates optimal machine learning pipelines for various real-world problems. | 644 |
nlpxucan/wizardlm | Large pre-trained language models trained to follow complex instructions using an evolutionary instruction framework | 9,268 |
mljar/mljar-supervised | A tool for automating machine learning pipeline construction and hyperparameter tuning on tabular data | 3,052 |
autogptq/autogptq | A package for efficient inference and training of large language models using quantization techniques | 4,476 |
openbmb/bmtools | Tools and platform for building and extending large language models | 2,898 |
significant-gravitas/autogpt | A platform for building and deploying autonomous AI agents to automate complex workflows | 168,407 |
microsoft/lmops | A research initiative focused on developing fundamental technology to improve the performance and efficiency of large language models. | 3,695 |
eleutherai/gpt-neox | Provides a framework for training large-scale language models on GPUs with advanced features and optimizations. | 6,941 |