pre-trained-model

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

An Open-Source Framework for Prompt-Learning.

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

An Open-sourced Knowledgable Large Language Model Framework.

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Must-read Papers on Knowledge Editing for Large Language Models.

Official Repository for the Uni-Mol Series Methods

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

Self-supervised contrastive learning for time series via time-frequency consistency

[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers

[ICLR 2024 oral; top 1.2%] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

A work in progress to build out solutions in Rust for MLOPs

PERT: Pre-training BERT with Permuted Language Model

MiniRBT (中文小型预训练模型系列)