hanfeijp Goto Github PK

multiprocess

better multiprocessing and multithreading in python

munit

Multimodal Unsupervised Image-to-Image Translation

murphy-machine-learning-a-probabilistic-perspective-errata-and-notes-4th-printing

Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)

mv-camera-ros

MindVision camera driver

mvvm

Model-View-ViewModel Infrastructure for VBA/VB6

my-trading-project

The codes I'll be using as my trading tools, whether it be in Python, or MQL4.

mypy

Optional static typing for Python 2 and 3 (PEP484)

namas

Neural Attention Model for Abstractive Summarization

named-entity-recognition

name entity recognition with recurrent neural network(RNN) in tensorflow

named-entity-recognition-with-bidirectional-lstm-cnns

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

nativefier

Make any web page a desktop application

needle

Nimble, streamable HTTP client for Node.js. With proxy, iconv, cookie, deflate & multipart support.

neo

NEO Smart Economy

neo-dotnetquickstart

NEO Blockchain Quick Start Guide for .NET Developers

ner

Named Entity Recognition

ner-lstm

Named Entity Recognition using multilayered bidirectional LSTM

ner-sequencelearning

Keras Conv+BiLSTM for Named Entity Recognition

nested-lstm

Keras implementation of Nested LSTMs

neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

neural-doodle

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

neural-image-assessment

Implementation of NIMA: Neural Image Assessment in Keras

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural_renderer

Code for the paper "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

neuralnets

Deep Learning libraries tested on images and time series

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

next18-ai-in-motion

Sample code for the AI in Motion demo

nips17-dl-workshop-website

Website of the NIPS 2017 workshop: "Deep Learning: Bridging Theory and Practice"

nlp

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)