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andrew

bf_interpreter_jit_compiler

Teach myself about interpreters, JITs, and compilers using the Brainfuck language as the toy language

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

coursera-deep-learning-specialization

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

cs231n.github.io

Public facing notes page

cyipopt

Cython interface for the interior point optimzer IPOPT

electronicmarkets

financial-models-numerical-methods

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

how-web-works

What happens behind the scenes when we type www.google.com in a browser?

jos

My solutions to MIT's JOS programming labs (kernel hacking)

jupyter-guide-to-linear-algebra

A Jupyter book intended as an introduction to linear algebra with Jupyter notebooks.

learngit

mth9875_volatility_surface

This repo contains lecture notes and HW for Baruch MTH9875 Volatility Surface

stanford-cs20si

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.