Popular GitHub Repositories for Dietary Preference Recipes

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Robust recipes to align language models with human and AI preferences

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

Recipes to train reward model for RLHF.

[NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward

Eagle Family: Exploring Model Designs, Data Recipes and Training Strategies for Frontier-Class Multimodal LLMs

✨ A curated list of awesome Fiber middlewares, boilerplates, recipes, articles and tools.

A collection of stand-alone Python machine learning recipes

RewardBench: the first evaluation tool for reward models.

food image to recipe with deep convolutional neural networks.

The official implementation of Self-Play Preference Optimization (SPPO)

A collection of Bayesian data analysis recipes using PyMC3

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

? OAT: A research-friendly framework for LLM online alignment, including preference learning, reinforcement learning, etc.

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

A collection of notebooks, cookbooks, and recipes showcasing fun and effective ways to use CrewAI's agentic workflow implementations and tools.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.

End-to-end recipes for optimizing diffusion models with torchao and diffusers (inference and FP8 training).