Taarak9's Stars
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
terryum/awesome-deep-learning-papers
The most cited deep learning papers
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
orico/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
youssefHosni/Practical-Machine-Learning
Practical machine learning notebook & articles covers the machine learning end to end life cycle.
lopusz/awesome-interpretable-machine-learning
pbiecek/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
cfchen-duke/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).
M-Nauta/ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
rajubapi/NN-Notes
This repository will house the entire blog for the course taught by Dr. Bapi S. Raju, SCIS, UoH
sandareka/CCNN
Comprehensible Convolutional Neural Networks via Guided Concept Learning