wwdxfa Goto Github PK

livego

纯 Go 写的直播服务器

lme4

Mixed-effects models in R using S4 classes and methods with RcppEigen

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning-yearning-cn

CHINESE TRANSLATION OF MACHINE LEARNING YEARNING BY ANDREW NG

machine_learning_r

Coursera's machine learning examples in R

machinelearning-1

My blogs and code for machine learning. http://cnblogs.com/pinard

mapreduce-lite

Automatically exported from code.google.com/p/mapreduce-lite

maxent

Maximum Entropy Modeling Toolkit for Python and C++

medium_notebook

Repository containing notebooks of my posts on Medium

metamapr

Network mapping tool for metabolomics + data.

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

mit-biomimetics.github.io

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

ml-nlp-services

机器学习、深度学习、自然语言处理

ml_cia

公众号: 机器学习荐货情报局 所有代码

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mlbasic

深度学习常用优化方法详解

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mocap_js

Motion tracking - js style

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

moviesuccessprediction

A machine learning project to predict if a movie is going to be a blockbuster or flop. In this project we aim to collect data from various sources like Twitter and Youtube comments, and perform classification of postivity of these tweets and comments. Our model uses these values to predict success of a movie in the scale of 1 to 5, where 5 being blockbuster and 1 being flop. Various classification algorithms like SVM, Naive Bayes, Maximum Entropy are implemented and accuracy is compared. We uses Python as primary language of implementation.

neo4j

Graphs for Everyone

neural-networks-and-deep-learning

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

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nginx-book

Nginx开发从入门到精通

nlp-journey

Documents, papers and codes related to NLP, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

nltk3-cookbook

Code for NLTK3 Cookbook

node-faststats

Quickly calculate statistics of a running stream of data