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awesome-domain-generalization

Awesome things about domain generalization, including papers, code, etc.

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

clip_surgery

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

eece5644-machine_learning

Graduate course on Machine Learning

fileshare

gpu_server_monitor

gshs-format

LaTeX 양식 : R&E, 졸업논문, beamer 등등 - 컴파일된 결과 pdf파일 미포함

histopathology-datasets

Ressources of histopathology datasets

loss-functions-for-semantic-segmentation

My own implementation for some sort of loss functions that have been used for segmentation task.

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

medical-imaging-datasets

A list of Medical imaging datasets.

modelsoups

ModelSoups for Tensorflow2 and Torch

panoptic-segment-anything

Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation

prompt-tuning

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

sam4mis

Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary

score_sde_base

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

seglossodyssey

A collection of loss functions for medical image segmentation

sonnet_pytorch

sonnet implemented with pytorch

transformers-tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

vary_fast_instance_segmentation_metrics

A fast implementation of a PyTorch-based evaluation metric for nuclear instance segmentation