Repository Index

Collection of notebooks about quantitative finance, with interactive python code.

• quantitative-finance
• jupyter-notebooks
• kalman-filter
• option-pricing

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

• deep-learning
• coursera
• coursera-assignment
• coursera-specialization

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

• gpu-acceleration
• large-language-models
• llm
• llm-inference

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

• deep-learning
• tutorials
• uvadlc
• pytorch

📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

• football
• xg
• expected-goals
• statsbomb

Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜

Notebooks about Bayesian methods for machine learning

• machine-learning
• bayesian-methods
• bayesian-machine-learning
• gaussian-processes

This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.

Notebooks covering mathematical analysis of ZKP building blocks, algorithm implementations of various proof systems, and protocol optimization techniques.

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

• tensorflow-2
• tensorflow-lite
• on-device-ml
• model-quantization