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NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025
ArXiv Digest and Personalized Recommendations using Large Language Models
Emacs helper library (and minor mode) to work with conda environments
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
We reached an accuracy of 75% in extracting vendors' names from transaction memos based on human-identified patterns
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A playbook for systematically maximizing the performance of deep learning models.
YAAC: Another Awesome CV is a template using Font Awesome and Adobe Source Font.
An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data
A community driven list of useful Emacs packages, libraries and other items.
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Some State-of-the-Art few shot learning algorithms in tensorflow 2
Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)
This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and cau…
🎓 Sharing machine learning course / lecture notes.
Hummingbird compiles trained ML models into tensor computation for faster inference.
24 Lessons, 12 Weeks, Get Started as a Web Developer
Transformers for Natural Language Processing, published by Packt
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Free resources for learning data science