noa Goto Github PK

luabridge

A lightweight, dependency-free library for binding Lua to C++

memnn

Memory Networks implementations

mljhu

naacl2021

Official repository for the NAACL 2021 paper "A Deep Metric Learning Approach to Account Linking"

namelists

nanoflann

nanoflann: a C++ header-only library for Nearest Neighbor (NN) search wih KD-trees

nearpy

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

nicknames_old

nips2015_vrnn

nn

nngraph

Graph Computation for nn

noa

Config files for my GitHub profile.

noa.github.io

opennmt-py

Open Source Neural Machine Translation in PyTorch

opennmt-tf

Neural machine translation and sequence learning using TensorFlow

optimize-net

OptNet - Reducing memory usage in torch neural nets

proxy-nca

PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies` (as introduced by Google Research).

recurrenthighwaynetworks

Recurrent Highway Networks - Author implementation for Tensorflow and Torch

reddit-suspicious-accounts

2018 Reddit release of suspicious accounts

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

russian-troll-tweets

scrnns

This is a self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks: http://arxiv.org/abs/1412.7753.

simple-reddit-crawler

Lightweight Reddit crawler using Python and MySQL

sonnet

TensorFlow-based neural network library

stack-lstm-ner

NER system based on stack LSTMs

stanford-sentiment

svae

code for Structured Variational Autoencoders

tarsoslsh

A Java library implementing Locality-sensitive Hashing (LSH), a practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time.

tdlearn

some common TD Learning algorithms

tensorflow

Computation using data flow graphs for scalable machine learning