Pinned Repositories
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
Alabaro
Build a ML Workflow For Scones Unlimited On Amazon SageMaker
anserini
Anserini is a Lucene toolkit for reproducible information retrieval research
badge-readme
Add badges in your Readme
Beryl
mlx-transformers
MLX Transformers is a library that provides model implementation in MLX. It uses a similar model interface as HuggingFace Transformers and provides a way to load and run models in Apple Silicon devices.
Ohun-Amuye
Landmark Classification & Tagging for Social Media
pyserini
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
rapala
Python web scraper for VOA news
Tourmaline
Seun-Ajayi's Repositories
Seun-Ajayi/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
Seun-Ajayi/Alabaro
Build a ML Workflow For Scones Unlimited On Amazon SageMaker
Seun-Ajayi/anserini
Anserini is a Lucene toolkit for reproducible information retrieval research
Seun-Ajayi/badge-readme
Add badges in your Readme
Seun-Ajayi/Beryl
Seun-Ajayi/Churn-Prediction
Seun-Ajayi/Corundum
Seun-Ajayi/cs-video-courses
List of Computer Science courses with video lectures.
Seun-Ajayi/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
Seun-Ajayi/Data-Science-Projects
Seun-Ajayi/DataSciencePortfolio
Seun-Ajayi/Genre-Classification
Seun-Ajayi/Labradorite
Seun-Ajayi/mlx-transformers
MLX Transformers is a library that provides model implementation in MLX. It uses a similar model interface as HuggingFace Transformers and provides a way to load and run models in Apple Silicon devices.
Seun-Ajayi/Ohun-Amuye
Landmark Classification & Tagging for Social Media
Seun-Ajayi/pyserini
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
Seun-Ajayi/rapala
Python web scraper for VOA news
Seun-Ajayi/Tourmaline
Seun-Ajayi/Epo-robi
Facies Classification using k-Means Clustering Algorithm
Seun-Ajayi/Igbanladogi
Seun-Ajayi/ivy
The Unified AI Framework
Seun-Ajayi/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Seun-Ajayi/mlx-examples
Examples in the MLX framework
Seun-Ajayi/nairaland
Seun-Ajayi/NYC-Airbnb
Seun-Ajayi/Onka
Seun-Ajayi/otelemuye
An extensible framework for webscraping
Seun-Ajayi/petrolib
A Python Package for Petrophysical Evaluation
Seun-Ajayi/Sapphire
Seun-Ajayi/teaching
Open-Source Information Retrieval Courses @ TU Wien