Lists (3)
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Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
Chatbot with DeepSeek AI on Docker
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Apply CLAHE algorithm to datasets of images using Thread-based parallelism.
[MedIA 2025] MedIAnomaly: A comparative study of anomaly detection in medical images
Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
ADer (https://arxiv.org/abs/2406.03262) is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.
This repository explores the use of autoencoders for breast cancer detection using ultrasound image data.
Machine Learning Class Project - Spring '22: Breast Cancer Prediction from Mammograms using Autoencoders to solve class imbalance problem
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
🩺 Curated collection of datasets for breast cancer segmentation
Adapting Segment Anything Model for Medical Image Segmentation
Medical Image Segmentation with Diffusion Model
An open-source RAG-based tool for chatting with your documents.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow
Masked Autoencoders for Unsupervised Anomaly Detection in Medical Images
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study