Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
- nlp
- pre-trained-model
- unilm
- minilm
57,637 visible repositories in the index
1–18 of 18 · Most stars
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
A collection of pre-trained, state-of-the-art models in the ONNX format
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.
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
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
An Open-Source Framework for Prompt-Learning.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
High level network definitions with pre-trained weights in TensorFlow
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
🚀 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.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.