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graymatter

Simplified api for pylearn2

gsir-te

Getting Started in R -- Tinyverse Edition

hacking-dask

"Hacking Dask" tutorial materials

hadoop-fundamentals

Code for the Hadoop Fundamentals for Data Scientists course.

hands-on-adversarial-ml

As seen at DEF CON and O'Reilly Live Trainings

hands-on-deep-learning-for-finance

Hands-on Deep Learning for Finance published by Packt.

hello-github-actions

hfte

Context: Supporting material for the paper "Guidelines for Building a Realistic Algorithmic Trading Market Simulator for Backtesting while Incorporating Market Impact" What it does: This is a simplification of the HFT game. We examine, in sequence how different classic financial strategies fair with respect to each other via an orderbook

higgs-susy

This project contains python code to replicate the results on HIGGS and SUSY benchmarks using pylearn2 and theano.

highperformancepython_pycon2012

hmm

Python Hidden Markov Models framework

housing-predictor

hpc-fa14

hpcpythonsc2012

huang_et_al_2012

Code used in "Improving Word Representations via Global Context and Multiple Word Prototypes" by Huang et al. 2012 (unofficial repo)

hw1

CS 171 Homework 1 - Tables and Bar Charts

hyperpython

A brief and practical introduction to the solution of hyperbolic conservation laws

icwsm-14-tutorial

field experiments tutorial

idiap-tutorials

ift6266amjad

My code for IFT 6266 - Representation learning course.

ignite

High-level library to help with training neural networks in PyTorch

ims

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.

in2thedeep

deep neural network library, on top of Theano and using some code of pylearn2

inside-dask

Material for Inside Dask talk | PyData DC | August 2021

interpretability-implementations-demos

Sklearn-compatible interpretability implementations with demos.

interpretability-literature

interview

Everything you need to kick ass on your coding interview

intro-numerical-methods

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

iot-connectedcar

ipam-tutorials

IPAM Tutorials on Theano/Torch