Q4living

Q4living's Stars

• kujirashark/user_restful_api

  这是一个通用的用户、部门、角色、权限管理的API接口

  Language:Python10469

• guettli/programming-guidelines

  My personal programming guidelines

  30043

• udacity/deep-reinforcement-learning

  Repo for the Deep Reinforcement Learning Nanodegree program

  Language:Jupyter Notebook4.9k2.3k

• Q4living/MXNetWorkshopHongKong

  MXNet Workshop in Hong Kong 2018

  Language:Jupyter Notebook12

• borisbanushev/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.

  4.3k1.7k

• syedhassaanahmed/databricks-notebooks

  Collection of Databricks and Jupyter Notebooks

  Language:Jupyter Notebook2215

• zackchase/mxnet-the-straight-dope

  An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

  Language:Jupyter Notebook2.6k725

• jacksonllee/pycantonese

  Cantonese Linguistics and NLP

  Language:Python36239