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bcfwstruct

Block-Coordinate Frank-Wolfe Optimization for Structural SVMs

cs228-material

Teaching materials for the probabilistic graphical models class at Stanford

datachallenge-kernelmethods

dcn

dcn-for-kmeans

diconet

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dngpu

Code for reproducing key results in the paper "Improving the Neural GPU Architecture for Algorithm Learning" by Karlis Freivalds, Renars Liepins.

examples

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

fullstack-nanodegree-vm

g-softmax

Pytorch package for geometric softmax

hello-world

limo

The code of the LIMO algorithm proposed in our ICML'17 paper "A Unified View of Multi-Label Performance Measures"

little-tsp

A C++ implementation of the branch and bound TSP algorithm described by Little et al in their 1963 paper

maxminloss

pointer-networks

TensorFlow implementation of Pointer Networks, modified to use a threshold (or hardmax) pointer instead of a softmax pointer.

probalgosproj

Probabilistic algorithms for constructing approximate matrix decompositions

pystruct

Simple structured learning framework for python

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-dnc

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom

qap_pt

sepsis-data-challenge-19

smooth-ot

Python implementation of smooth optimal transport.

tensorflow

Computation using data flow graphs for scalable machine learning

tsp-solver

Travelling Salesman Problem solver in pure Python + some visualizers

ud036_startercode

Starter Code

v70

Proceedings of ICML 2017