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learning-to-communicate

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

learning-to-learn

TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"

learning-to-learn-1

Learning to Learn in TensorFlow

learning-to-learn-2

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake 2018)

learning_by_association

learning_to_execute

Learning to Execute

lectures

Oxford Deep NLP 2017 course

leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

legion

The Legion Parallel Programming System

lending-contract

lenia

Lenia - Mathematical Life Forms

lens

A novel way of seeing content

lens-1

Lens - open science content creation and display

lenskit

LensKit recommender toolkit.

lernd

Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.

level-replay

This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the fact that not all levels are equally useful for agents to learn from during training.

lexical_simplification

lfptools

Tools for working with Lytro files

lgo

Go (golang) Jupyter Notebook kernel and an interactive REPL

li-visualizations

A set of D3 visualizations and visual elements created for Lithium Labs projects

libact

Pool-based active learning in Python

libble-multithread

libffm

libfm

Library for factorization machines

libn3l

LibN3L: A light-weight neural network package for natural language

libphonenumber

libra

Libra’s mission is to enable a simple global currency and financial infrastructure that empowers billions of people.

libreboard

An open-source kanban board

libskylark

Sketching-based Distributed Matrix Computations for Machine Learning

liff

LiFF Light Field Feature Toolbox