scikit-activeml: Python library for active learning on top of scikit-learn

Deep Active Learning

Additional exercises and data for EE364a. No solutions; for public consumption.

My notes from class

A collection of tutorials for the MOSEK package

Distributed Asynchronous Hyperparameter Optimization in Python

Deep Learning methods to solve path-dependent PDEs / to price path-dependent derivatives like exotic options

Robust pricing and hedging via Neural SDEs

Functions for basic NLP and text analysis

Repo for Quant Risk functions

Implementation of nonlinear Optimization Algorithms in Python

Modified Cutting angle method based on 'Cutting angle method - a tool for constrained global optimization'

convex optimization repo

Predict prices for Airbnb rentals in NYC using Gradient Boost and NLP in R

Python implementation of Geometric Dataset Distances via Optimal Transport