Llama Cookbook
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
18.4KGitHub
OPENAGENTSKILL / DIRECTORY
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Results · “tuning-parameters”
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Results: 12
FLAML
microsoft
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Ml AutomationReview before use
4.4KGitHub
SimpleTuner
bghira
A general fine-tuning kit geared toward image/video/audio diffusion models.
Ml AutomationReview before use
2.9KGitHub
Mljar Supervised
mljar
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Ml AutomationReview before use
3.3KGitHub
Rf Detr
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
Ml AutomationReview before use
7.8KGitHub
Petals
bigscience-workshop
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
10.2KGitHub
Physicsnemo
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Ml AutomationReview before use
3KGitHub
Lazypredict
shankarpandala
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Ml AutomationReview before use
3.3KGitHub
TransmogrifAI
salesforce
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal ha…
Ml AutomationReview before use
2.3KGitHub
PromptPapers
thunlp
Must-read papers on prompt-based tuning for pre-trained language models.
Ml AutomationReview before use
4.3KGitHub
2.9KGitHub
Higgsfield
higgsfield-ai
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Ml AutomationReview before use
3.8KGitHub
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