Satoshi Tsutsui's starred repositories
plip
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.
Automatic-Identification-and-Counting-of-Blood-Cells
Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
awesome-segment-anything
Tracking and collecting papers/projects/others related to Segment Anything.
rosetta_neurons
Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"
WBC_Feature
Classification of White Blood Cells in Peripheral Smear Images
tv_layers_for_cv
[CVPR2022] Total Variation Optimization Layers for Computer Vision
Environment-Label-Smoothing
This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothing》.
Batch-Spectral-Penalization
Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)
SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Explaining-In-Style-Reproducibility-Study
Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).
post-hoc-cbm
Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
pdf_annotation_fix
Fixes macOS Preview garbled annotations
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
StyleSpace-pytorch
Implementation of StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation in PyTorch
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Perspective-and-Equirectangular
A tool to transfer Perspective between Equirectangular
PanoFormer
ECCV'2022 PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization