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m_text_generation

repo for general mathematical formulation of text_generation

mypy

Optional static typing for Python 3 and 2 (PEP 484)

mypy-pycharm-plugin

A simple plugin that allows running mypy from PyCharm and navigate between errors

nanomorph

🚅 - Hyper fast diffing algorithm for real DOM nodes

napkin

An Infinitely Large Napkin

naru

Neural Relation Understanding: neural cardinality estimators for tabular data

neo4j

Graphs for Everyone

neo4j-python-driver

Neo4j Bolt driver for Python

neo4j-tutorial

get used to neo4j and find benefits compared to RDBMS

netgan

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

netron

Visualizer for neural network, deep learning and machine learning models

network-recon

networkd3

D3 JavaScript Network Graphs from R

networkx

Network Analysis in Python

neural-tangents

Fast and Easy Infinite Neural Networks in Python

neurips-2019-papers-by-category

mo papers mo problems

new

new1

new1

new3

next.js

The React Framework

ngraph

nGraph - open source C++ library, compiler and runtime for Deep Learning

ngraph.graph

Graph data structure in JavaScript

ngraph.path

Path finding in a graph

nipen

nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

nlopt-docker

Build docker image that able to import nlopt python-runtime i/ amazonlinux

nlpelief

Belief system revelation via nlp

nn-from-scratch

Implementing a Neural Network from Scratch

nn-visual-debug

Macroscopic blueprint of debugging deep neural network based on visualization of layer weights distribution

node-edge-disetnaglement

General notion about node embedding and edge-embedding. Is it desirable to disentangle or sequentially performed to find those embeddings or could it be done more in end-to-end manner?