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ios-stanford-objective-c

Source code for Stanford University Developing iOS course.

java-design-patterns

Design pattern samples implemented in Java

java8-tutorial

Modern Java - A Guide to Java 8

jekyll

Jekyll is a blog-aware, static site generator in Ruby

jingwei

A framework for evaluating image tag assignment, tag refinement and tag-based image retrieval

jinja

The Jinja2 template engine

js-y86

y86 simulator and assembler written in Javascript.

kaffe

A reduced Caffe library, only for deploying deep models.

kdd2015

code release for our kdd 2015 paper

keras

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

keras-contrib

Keras community contributions

keras-frcnn

keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

keras-seq2seq

Simple Seq2Seq implementation for Keras

keras-tutorial

Tutorial teaching the basics of Keras and some deep learning concepts

knowledgequest

l4-optimizer

Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labella.js

Placing labels on a timeline without overlap.

labelmemechanicalturk

Toolbox for interfacing LabelMe with Mechanical Turk

labelmetoolbox

MATLAB Toolbox for the LabelMe Image Database

labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

lasagne-draw

Implementation of the DRAW network in lasagne

learning-to-learn

Learning to Learn in TensorFlow

learning-to-see-by-moving

Code for Learning to See by Moving, ICCV 2015.

lectures

Oxford Deep NLP 2017 course

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

libfm

Library for factorization machines

libfm_python

lime

Lime: Explaining the predictions of any machine learning classifier