bofenghuang Goto Github PK

alpaca-lora

Instruct-tune LLaMA on consumer hardware

axolotl

Go ahead and axolotl questions

bofenghuang

community-events

Place where folks can contribute to 🤗 community events

distil-whisper

Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

distributionbalancedloss

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

espnet

End-to-End Speech Processing Toolkit

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

lightning-transformers

Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

llama-recipes

Examples and recipes for Llama 2 model

mistral-src

mlx-examples

Examples in the MLX framework

modal-examples

Examples of programs built using Modal

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nemo

NeMo: a toolkit for conversational AI

ng-video-lecture

pyctcdecode

A fast and lightweight python-based CTC beam search decoder for speech recognition.

rag-race-challenge2-2024

recasepunc

Model for recasing and repunctuating ASR transcripts

setfit

Efficient few-shot learning with Sentence Transformers

speechbox

speechbrain

A PyTorch-based Speech Toolkit

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

transformers

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

trl

Train transformer language models with reinforcement learning.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

vigogne

French instruction-following and chat models

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs