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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python training for business analysts and traders
Code for the paper Volatility is (mostly) path-dependent
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
CompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines fo…
Financial Sentiment Analysis with BERT
Calendars for various securities exchanges.
Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.
FFT-based Option Pricing Methods in Python
Jupyter notebook integration with Spyder
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Training and serving large-scale neural networks with auto parallelization.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Master programming by recreating your favorite technologies from scratch.
Compute the neuron coverage of a deep learning network in MATLAB.
Here you will find materials for the course of Computational Finance
🎓 Sharing machine learning course / lecture notes.
Stochastic Quasi-Newton Methods in a Trust Region Framework (MATLAB implementation)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Code samples for my book "Neural Networks and Deep Learning"
MATLAB's live scripts to markdown. The provided function converts your latex (generated from a live script) to markdown so that it could easily produce README.md with MATLAB code, equations, and fi…
Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019
Materials for a short course on convex optimization.
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
A computer algebra system written in pure Python
A beautiful, simple, clean, and responsive Jekyll theme for academics
website for numerical methods course