List of Computer Science courses with video lectures.

📋 A list of open LLMs available for commercial use.

Starter Project using Unity XR Toolkit created for VR Jam 2023

This is the repo for the online course "Applied NLP"

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

A Virtual-Reality "escape-room-like" videogame for Oculus Quest, developed with Unity Engine using only the basic Oculus Framework. Game awarded as best game of the course ( year 2021/2022)

Sorting Google Scholar search results based on the number of citations

🧮 Bayesian networks in Python

This is the repository for the course Natural Language Processing at Asian Institute of Technology. Covers word vectors, spaCy, PyTorch, HuggingFace.

following the whole Machine Learning: Natural Language Processing in Python (V2) on Udemy

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

👋 Xplique is a Neural Networks Explainability Toolbox

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

TorchEsegeta: Interpretability and Explainability pipeline for PyTorch

Python code accompanying the course "A deep understanding of deep learning (with Python intro)"

A game theoretic approach to explain the output of any machine learning model.

This repository centralizes all the proactive objects (workflows, rules,..)

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, …

A toolbox to iNNvestigate neural networks' predictions!

All course materials for the Zero to Mastery Machine Learning and Data Science course.

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.

A collection of Deep Learning projects and resources

Convolutional neural network capable of identifying skin lesions (based on the skin lesion image data set HAM10000).

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

This is a final-year project backend primarily focused on image classification for melanoma skin cancer. I have implemented a Convolutional Neural Network (CNN) AI model for this purpose.

Lime: Explaining the predictions of any machine learning classifier

XR Development with Unity, published by Packt

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.