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bd-infra

convex_optimization

Teaching material for the mathematical foundations of theoretical economics

data_mining_challenge_may_2016

deep-knowledge-tracing

An implementation of the Deep Knowledge Tracing (DKT) with Tensorflow 2.0

deep-knowledge-tracing-1

Source code and data sets for Going Deeper with Deep Knowledge Tracing (EDM-2016)

deep-knowledge-tracing-plus

It is the DKT+ model implemented in python3 and tensorflow1.2

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepknowledgetracing

source code for the paper Deep Knowledge Tracing

delivery

dndt

Deep Neural Decision Trees

filterpy_forked_from_rlabbe

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

financial-mathematics

not for professional use, these files are only exercises for building trees using recursion.

gcp-flask-ml-deploy

This is a project to auto-deploy with an ML payload

github-actions-demo

This is a repo for building out Github Actions and Tricks

handson-ml2

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.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kaggle-algorithmic-trading-challenge

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

materials

Bonus materials, exercises, and example projects for our Python tutorials

maven-example-en

Maven: By Example

modernrobotics

Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

natural-language-processing-specialization

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

pandas-formats-benchmark

A little benchmark comparing Pandas data frames serialization formats

paysim

Financial Simulator of Mobile Money Service

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pygps

pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.

python3

Python code and documents

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-sakt

a simple pytorch implemention of paper A Self-Attentive model for Knowledge Tracing

reinforcementlearningexercises