Md Abdul Kadir's repositories

LNCS_Natbib

natbib-compatible Springer LNCS template repository: Seamless integration of natbib citation style with LNCS format. User-friendly, customizable, and comprehensive bibliography support. Simplify your LNCS paper preparation. Good luck!

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ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.

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adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

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apps

A central space for Saleor Apps, integrations, and the App Store 🚀

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awesome-active-learning

A curated list of awesome Active Learning

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CheXagent

[Arxiv-2024] CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation

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emile

A repository for Interactive UI for Explainable ML

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human

Hierarchical Universal Modular ANotator

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ImageBind

ImageBind One Embedding Space to Bind Them All

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LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

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MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers

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moondream

tiny vision language model

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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Nutrition-and-immune-systems

This repository is for data science project

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offensive-ai-compilation

A curated list of useful resources that cover Offensive AI.

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pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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RD4AD

Anomaly Detection via Reverse Distillation from One-Class Embedding

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rgrg

Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"

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seeds-revised

Implementation of the superpixel algorithm called SEEDS [1].

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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.

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SPRC

【ICLR 2024, Spotlight】Sentence-level Prompts Benefit Composed Image Retrieval

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VisionTransformer-MNIST

This notebook is designed to plot the attention maps of a vision transformer trained on MNIST digits.

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vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

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Vit-RGTS

Open source implementation of "Vision Transformers Need Registers"

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Xplainer

Official repository for the paper "Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis"

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