Repository Index

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

• nlp
• pre-trained-model
• unilm
• minilm

TranslatedChinese LLaMA & Alpaca LLMs + local CPU/GPU training and deployment

• llm
• plm
• pre-trained-language-models
• alpaca

PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.

• model

The official GitHub page for the survey paper "A Survey of Large Language Models".

• chain-of-thought
• chatgpt
• in-context-learning
• instruction-tuning

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

• voice-detection
• voice-recognition
• voice-commands
• pytorch

A collection of pre-trained, state-of-the-art models in the ONNX format

• onnx
• models
• download
• pretrained

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

• semantic-segmentation
• image-segmentation
• image-matting
• interactive-segmentation

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

• document-ai
• eccv-2022
• multimodal-pre-trained-model
• ocr

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

• chatgpt
• chatgpt-api
• few-shot-learning
• gpt

Silero Models: pre-trained text-to-speech models made embarrassingly simple

• speech-to-text
• pretrained-models
• pytorch
• colab

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

• deep-learning
• tensorflow
• keras
• tfjs

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

• unet
• fpn
• segmentation
• keras

An Open-Source Framework for Prompt-Learning.

• nlp
• pre-trained-language-models
• ai
• nlp-machine-learning

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

A collection of computer vision pre-trained models.

• computer-vision
• tensorflow
• keras
• pytorch

Official Repository for the Uni-Mol Series Methods

• molecular-modeling
• pre-trained-model
• pretraining
• deep-learning

High level network definitions with pre-trained weights in TensorFlow

• tensorflow
• model
• zoo
• deep-learning

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

• go
• onnx
• neural-network
• open-source

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

• nlp
• natural-language-processing
• artificial-intelligence
• embeddings

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

• kmer
• dnabert-model
• kmer-format
• gpu

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

• bert
• bert-model
• natural-language-processing
• pubmed

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

• artificial-intelligence
• clip
• pathology
• vision-and-language