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Bayesian optimization in PyTorch

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

Primary Purpose: Solves both the Satisfiability Problem (SAT) and the Traveling Salesman Problem (TSP) in a single, efficient module using optimized asynchronous JavaScript techniques.

Utilities intended for use with Llama models.

AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio a…

Animation engine for explanatory math videos

A community-maintained Python framework for creating mathematical animations.

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.