🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Novigrad is an automatic differentiation engine with a forward mode and a backward mode. It aims to be a minimalistic neural network framework written in Rust. It's a work-in-progress.

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

Fine-Tuning transformer model(DistillBERT) for text classification using transformers Trainer API

This repo shows how to finetune the wav2vec2.0 model along with its prerequisites.

This repository contains a web application designed to execute relatively compact, locally-operated Large Language Models (LLMs).

Unify Efficient Fine-Tuning of 100+ LLMs

A curated list for Efficient Large Language Models

Build AI-powered applications with React, Svelte, Vue, and Solid

Self-Repairing Autonomous Agent for Digital Consciousness Backup Using Large Language Models (LLM) and powerful code generation capability, self-editing source code and self-debugging its own source code

Convert booklists into dynamic Notion databases with this Python tool, enhancing organization and sharing of your reading history through advanced language models.

たまに追加される論文メモ

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

言語モデルを学ぶ

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

LangSmith Client SDK Implementations

A reading list for large models safety, security, and privacy.

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

A framework for few-shot evaluation of language models.

Tiny and simple implementation of multimodal models