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artificial-intelligence-materials

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-diffusion-models-in-medical-imaging

Diffusion Models in Medical Imaging

bku_ths_references_220917

conv-nets-series

A series of blog posts on convolutional neural networks and their generalizations.

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

cracking-the-coding-interview

Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.

cs231n.github.io

Public facing notes page

ctci

dynamic-programming-interview-questions

🟣 Dynamic Programming interview questions and answers to help you prepare for your next data structures and algorithms interview in 2024.

elements-of-programming-interviews-in-python

Programming Questions from the Book Elements of Programming Interviews in Python

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

learning-from-data-a-short-course

Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin

mlops-specialization

Machine Learning Engineering for Production (MLOps) Coursera Specialization

mlops-specialization-notes

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

neural_collaborative_filtering

Neural Collaborative Filtering

nlp-rnns-representations-post

A blog post using word embeddings and RNNs to explain representations.

nlp-vietnamese-progress

Repository to track the progress in Vietnamese Natural Language Processing, including the datasets and the current state-of-the-art for the most common Vietnamese NLP tasks.

nmt

TensorFlow Neural Machine Translation Tutorial

patchdiffusion-pytorch

Code for the Paper "Improving Diffusion Model Efficiency Through Patching"

pneumonia-detection-from-chest-x-rays

probabilityforcomputerscientists

Probability_Book_Stanford

python-for-everybody

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

recommenders

Best Practices on Recommendation Systems

revisiting-reverse-distillation

(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection

stanford-cs-224s-speech-recognition

stanford-cs231n-assignments-2020

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

stanford-cs234_reinforcement

Stanford CS234 : Reinforcement Learning

transformer_for_medical_image_analysis

A collection of papers about Transformer in the field of medical image analysis.