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machine-learning-experiments

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

machine_learning_challenge

#22 days of Machine Learning

machinelearning-qandai-book

Machine Learning Q and AI book

making_with_ml

master-thesis-multilingual-longformer

Master thesis with code investigating methods for incorporating long-context reasoning in low-resource languages, without the need to pre-train from scratch. We investigated if multilingual models could inherit these properties by making it an Efficient Transformer (s.a. the Longformer architecture).

megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

miniattention

Hierarchical Attention Layer for Keras for document classification.

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

ml_privacy_meter

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlops-with-dvc

A trial project to understand ops around a Machine Learning project

mlt_talks

Slides, videos and other resources from MLT Talks

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

nlp-architect

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

nltk-spacy

Differences between NLTK and Spacy

notebooks

Notebooks using the Hugging Face libraries 🤗

ntm-tensorflow

"Neural Turing Machine" in Tensorflow

oak-model-samples

optagan

Entropy regularized RL finetuning for VAEGAN structure

optuna

A hyperparameter optimization framework

predictcarprices-linearregression

LinearRegression with five key assumptions. This was part of my coursework.

programmingassignment2

Programming Assignment 2 for R Programming on Coursera

project_shinyapp

Project work of Coursera Data Science Specialization from JHU

pyarabic

pyarabic

pycaret

An open-source, low-code machine learning library in Python

python-data-science-code-snippet

Useful data science and Python code snippets at Data Science Simplified

python-for-developers

This book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, computer graphics, internet applications, distributed systems, among other issues.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

rag-demystified

An LLM-powered advanced RAG pipeline built from scratch

redbull-analytics-hol

Learn machine learning the fun way, with Oracle and RedBull Racing