elulue's repositories
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
Data-Science-Notes
数据科学的笔记以及资料搜集
advanced-in-finance_ml
Advances in Financial Machine Learning
Algorithms-and-Coding-Interviews
Open source content from a book in progress, Preparing for the Real-world Software Engineering
categorical-encoding
A library of sklearn compatible categorical variable encoders
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
fitlog
fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
kaggle-santander-2019
28th place solution to Kaggle Santander Competition 2019
keras_text_classification
implement some fancy text classification models by using keras
learnGitBranching
An interactive git visualization to challenge and educate!
Linkedin Scraper using Selenium Web Driver, Chromium headless, Docker and Scrapy
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
meta-labeling
Code base for the meta-labeling papers published with the Journal of Financial Data Science
models
Models and examples built with TensorFlow
portia
Visual scraping for Scrapy
raven
raven is a Linkedin information gathering tool that can be used by pentesters to gather information about an organization employees using Linkedin.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
rplibs
Refs.cn 原型设计元件库,基于Axure RP 8,支持 Android、Apple、Windows、微信,移动、桌面平台的应用和网站原型设计。
stockpredictionai
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.
tensorflow-handbook
简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0
tensorflow2_tutorials_chinese
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
text-classification-cnn-rnn
CNN-RNN中文文本分类,基于TensorFlow
text_classification
all kinds of text classification models and more with deep learning
v2ray-core
A platform for building proxies to bypass network restrictions.
vnpy
基于python的开源交易平台开发框架
YOLOv3_TensorFlow
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.