yangfukui Goto Github PK

prompt-tuning

Original Implementation of Prompt Tuning from Lester, et al, 2021

promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

ranet-pytorch

Resolution adaptive network

reinforced-continual-learning

code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."

relateanything

scikit-hyperband

A scikit-learn compatible implementation of hyperband

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

soft-prompt-tuning

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

stable-diffusion

A latent text-to-image diffusion model

tinyllama

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

unilm

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

usadtm

PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)

vimer

视觉预训练基础模型仓库

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vldet

[ICLR 2023] PyTorch implementation of VLDet （https://arxiv.org/abs/2211.14843）

vpt

🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119