pretrained-models

The official CLI and Python client for the Hugging Face Hub.

Sandbox for training deep learning networks

Metric depth estimation from a single image

The PyTorch-based audio source separation toolkit for researchers

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Official implementation of Adabins: Depth Estimation using adaptive bins

State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.

SQuAD Question Answering Using BERT, PyTorch

Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.

中文文本分类、序列标注工具包（pytorch），支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.

EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"

Build a Large Language Model (From Scratch) book and Finetuned Models

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models