12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

This repository contains demos I made with the Transformers library by HuggingFace.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

An annotated implementation of the Transformer paper.

A scikit-learn compatible neural network library that wraps PyTorch

Data augmentation for NLP

Efficient few-shot learning with Sentence Transformers

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

Code for the online course "Deployment of Machine Learning Models"

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

South-East Asia Large Language Models

Visualizations and helpers to improve and debug machine learning models for Rasa Open Source

Notebooks for the Practicals at the Deep Learning Indaba 2022.

Neural Machine Translation (NMT) tutorial. Data preprocessing, model training, evaluation, and deployment.

Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments

MAFAND-MT

AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/

Machine Translation (MT) Preparation Scripts

Notebooks pour le cours Deep Learning de zéro à la certification Tensorflow

A list of scripts/notebooks I'd like to keep handy

Auxiliary tasks for task-oriented dialogue systems. Published in ICNLSP'22 and indexed in the ACL Anthology.

Hub des projets initiés par GalsenAI

State of the art study of Keyword Spotting models to leverage the Waxal dataset