pre-trained-model

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

An Open-Source Framework for Prompt-Learning.

[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis, one of the first "foundation" models in medical image analysis for multiple downstream tasks

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

PERT: Pre-training BERT with Permuted Language Model

A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).

[ICLR 2024] Domain-Agnostic Molecular Generation with Chemical Feedback

A collection of Audio and Speech pre-trained models.

pytorch를 사용하여 텍스트 전처리부터 RAG, 에이전트, LLM 파인튜닝을 정리한 Deep Learning NLP 저장소입니다.

Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》

This repository collects awesome representative papers and resources for "From Pre-training to Post-training: A Survey on Time Series Foundation Models" (TechRxiv-26).

Fine Tune Video Generator for pretrained Stable Diffusion And Disney Models

An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification

Official Implementation of "Fine-Tuning is Fine, if Calibrated.", NeurIPS 2024

Official Implementation for Pre-CoFact (AAAI-22 DeFactify Workshop Best Paper)

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)