Beast code in Giters

jokerNi's repositories

machinelearning

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

Language:Jupyter NotebookMIT000

redash

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Language:PythonBSD-2-Clause000

termtosvg

Record terminal sessions as SVG animations

Language:PythonBSD-3-Clause000

GitHubDaily

GitHubDaily 分享内容定期整理与分类。欢迎推荐、自荐项目，让更多人知道你的项目。

000

Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

MIT000

QLExpress

QLExpress is a powerful, lightweight, dynamic language for the Java platform aimed at improving developers’ productivity in different business scenes.

Language:JavaApache-2.0000

deeplift

Public facing deeplift repo

Language:PythonMIT000

jpmml-evaluator

Java Evaluator API for PMML

Language:JavaAGPL-3.0000

wtte-rnn

WTTE-RNN a framework for churn and time to event prediction

Language:PythonMIT000

vim-web

◈ 搞得像IDE一样的Vim，安装配置自己的Vim。

Language:Vim script000

Qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

NOASSERTION000

AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Language:PythonGPL-3.0000

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

Language:HTML000

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

000

risk-talk

风控、实时计算、技术框架、架构方案、Groovy规则引擎、规则决策

000

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Language:Jupyter NotebookApache-2.0000