jhartford

AutoEncSets

BenchmarkingProject

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

CMB-roh

Detecting autozygosity via runs of homozygosity

CooperativeTraining

Train model asynchronously on multiple GPUs in a cooperative fashion using tensor flow.

Data-Mining-1-MonteCarlo

Data Mining - MonteCarlo Simulations Homework

DeepCognitiveHierarchy

Implementation of Deep Learning for Predicting Human Strategic Behavior

DeepIV

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

ModeIV-public

OnlinePCA

Online Principle Component Analysis benchmarking project

jhartford/DeepIV

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

jhartford/DeepCognitiveHierarchy

Implementation of Deep Learning for Predicting Human Strategic Behavior

jhartford/AutoEncSets

jhartford/CMB-roh

Detecting autozygosity via runs of homozygosity

jhartford/ModeIV-public

jhartford/OnlinePCA

Online Principle Component Analysis benchmarking project

jhartford/BenchmarkingProject

jhartford/char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

jhartford/CooperativeTraining

Train model asynchronously on multiple GPUs in a cooperative fashion using tensor flow.

jhartford/Data-Mining-1-MonteCarlo

Data Mining - MonteCarlo Simulations Homework

jhartford/DataMiningProject

jhartford/datasciencecoursera

Data Science Course on Coursera

jhartford/datasharing

The Leek group guide to data sharing

jhartford/deep_nets

Simple implementations of deep nets

jhartford/dotfiles

jhartford/Economics-1-gender-analysis

jhartford/EGAL

jhartford/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

jhartford/finetune

Scikit-learn style model finetuning for NLP

jhartford/jhartford.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

jhartford/keras

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

jhartford/MCMC_talk

jhartford/ml

jhartford/MonteCarloInR

jhartford/pybo

Python package for modular Bayesian optimization

jhartford/RoBO

RoBO: a Robust Bayesian Optimization framework

jhartford/sample_app

Ruby on Rails sample application

jhartford/sound-localisation

Honours project

jhartford/spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

jhartford/titanic