alphaprime Goto Github PK

2016

RecSys Challenge 2016: job recommendations

aaai-2015-demographics

Code and data for the AAAI 2015 paper entitled: "Predicting the demographics of Twitter users from social evidence using website traffic data"

aaai_17_stochastic_ordinal_embedding

adaptive-sampling-descent

Code for optimization according to Adaptive Sampling Probabilities for Non-Smooth Optimization

agegenderdeeplearning

alphaprime.github.io

animegan

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bitcoin

Bitcoin Core integration/staging tree

bnt

Bayes Net Toolbox for Matlab

bosen

SailingLab's Petuum project.

browsermob-proxy

A free utility to help web developers watch and manipulate network traffic from their AJAX applications.

caffe

Caffe: a fast open framework for deep learning.

caffe2

This is currently an experimental refactoring of Caffe.

cafm

Code and features for the ACM MM17 paper: "How Personality Affects our Likes: Towards a Better Understanding of Actionable Images"

causalimpact

An R package for causal inference in time series

certifiable-distributional-robustness

Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

compare

compare embedding

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

cpo

Constrained Policy Optimization

cvx

A MATLAB system for disciplined convex programming

cvxpy

A Python-embedded modeling language for convex optimization problems.

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

datt

Own your content.

ddus.jl

Data-driven Uncertainty Sets for the JuMPeR framework

deeplearning

Deep Learning (Python, C/C++, Java)

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

deepnet

Implementation of some deep learning algorithms.

deepwalk

DeepWalk - Deep Learning for Graphs