NinaHKivanani

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

hezar

The all-in-one AI library for Persian, supporting a wide variety of tasks and modalities!

selfaugment

Code for SelfAugment

SketchyDatabase

This project is a reimplementation of The Sketchy Database: Learning to Retrieve Badly Drawn Bunnies

project-based-learning

Curated list of project-based tutorials

Variatiounsatlas

R Shiny code for the 'Variatiounsatlas vum Lëtzebuergeschen'

object-detector

create features and train model

PentaMind

TextDescriptives

A Python library for calculating a large variety of metrics from text

MLBook

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

VSAmeter

time_series_augmentation

An example of time series augmentation methods with Keras

BMVCTemplate

Paper template and author instructions for BMVC

Shelf

a Wide Shelf for AI and Data Science | Resources 🍔

ML-Papers-Explained

Explanation to key concepts in ML

ProtoPNet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

XAI

Papers and code of Explainable AI esp. w.r.t. Image classificiation

AAAI-2021

Code for our paper

multimodal_explanation

Generating and Evaluating Post-Hoc Explanation from Deep Neural Networks for Multi-Modal Medical Image Analysis Tasks

OmniXAI

OmniXAI: A Library for eXplainable AI

beexplainable

XAI Experiments on an Annotated Dataset of Wild Bee Images

Focus-Metric

lime

Lime: Explaining the predictions of any machine learning classifier

Basic-XAI-with-LIME

This repo contains a basic demo of XAI using LIME on CNN Models

Applied-Machine-Learning-Explainability-Techniques

Applied Machine Learning Explainability Techniques, published by Packt

SpeakerIdentification

Identification of speakers in novels

PyTorch-for-Deep-Learning-and-Computer-Vision-Course-All-Codes-

PyTorch for Deep Learning and Computer Vision Course