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2014_sys_identification

3d-machine-learning

A learning resource repository for 3D machine learning

ansible-miniconda

Ansible role to install miniconda and create conda virtualenvs

ansible_roles_repo

A collection of Ansible roles I use for maintenance.

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

book-notes

a bunch of notes about machine learning, image statistics, theoretical neuroscience, etc.

cam-notes

My Cambridge Lecture Notes

cfavorita

A project for solving demand forecast of a medium retailer using a simple Deep Learning model

cmt

Fast implementations of several probabilistic models.

cmu-thesis

Latex starters for creating a CMU thesis or thesis proposal

cmu_10-701_project

CMU_10-701_Project

coolgpus

GPU fan control for headless Linux - fix support for multi-gpu

cortex_toolkit

A set of tools dealing with Cortex

cpp-primer-5th-exercises

Solutions to Exercises in C++ Primer 5th Edition

cpython

The Python programming language

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

cs228_pgm

🌀 Stanford CS 228 - Probabilistic Graphical Models

docker-ubuntu-desktop

Ubuntu Desktop based on Docker which support HW GPU accelerated GUI apps, you can access the Docker Container with ssh or remote desktop, just like Cloud VM.

dropbox-uploader

Dropbox Uploader is a BASH script which can be used to upload, download, list or delete files from Dropbox, an online file sharing, synchronization and backup service.

ecd

Event-Driven CD in Spiking Neural Networks

effectivetensorflow

TensorFlow tutorials and best practices.

exemplarsvm

Ensemble of Exemplar-SVMs for Object Detection and Beyond

font-smoothing-adjuster

Font Smoothing Adjuster is a tiny, native macOS app that lets you adjust your font smoothing preferences in a graphical user interface.

fooling

Code base for "Deep Neural Networks are Easily Fooled" CVPR 2015 paper

hamiltonian-annealed-importance-sampling

Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimation for models with continuous state spaces

heise

Heisenberg: mapping complex cell receptive fields in full-field natural movies

hpfp

Exercises and Projects for Haskell Programming from First Principles by Allen & Moronuki

ising-model

Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.

lahmc

Look Ahead Hamiltonian Monte Carlo

libpytunes

Python Itunes Library parser