dorajam Goto Github PK

adversarial-recommenders

Code for "On incorporating side information into linear recommender systems using adversarial training" paper

algorithmic-problems

A variety of fun whiteboarding questions

algorithms

Playing around in Python

arduino-fun

Arduino projects

bayesian-methods

My notes for the "Bayesian Methods for Hackers" book

blog

My site/blog/thing - www.leotorr.es

codes

code for thought: a.k.a. coding adventures of Noah and Dora

convolutional-network

A convolutional neural network from scratch

cs50

C implementations for Harvard problem sets

dev-env-configs

bahrc, zshrc, spacemacsrc and some others

dorajam.github.io

Personal Website

dotfiles

dqn-for-flappy-bird

Deep Q network playing Flappy Bird

few-shot-link-prediction

Code for "Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs", EACL'21

gridworld_rl

Reinforcement Learning for gridworld

heroku-buildpack-python

The official Heroku buildpack for Python apps.

hierarchical-recommenders

Code for "Collaborative Autoencoders for Top-K Hierarchical Recommendations" paper

hugo-theme-blueberry-detox

hylogen

Haskell EDSL for live-coding fragment shaders

hyperbolicnf

ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows

im2speech

Say what you see!

ios9-development

Simple apps for practice using Swift

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

language-understanding

laser-cutter

Similar to boxmaker, this ruby gem generates PDFs that can be used as a basis for cutting boxes on a typical laser cutter. The intention is to create an extensible, well tested, and modern ruby framework for generating PDF templates used in laser cutting.

machine-learning-resources

The resources I used to get into machine learning

microblog

Flask web app basics

ml4a-guides

practical guides, tutorials, and code samples for ml4a

mnist-web-sketch

MNIST web sketch - digit recognition

neural-nets

Neural nets 101 for digit recognition + optimizations