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rnn_lstm_trading_model

This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture. This is for single stock prediction and backtesting, another RNN LSTM network and backtester for multiple-stock portfolio will be added soon.

securingtherecipevaultweb

self-driving-car

Information about the Udacity open source self-driving car project

startrader

This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm.

tensorflow

Computation using data flow graphs for scalable machine learning

todo-serverless

This application will allow creating/removing/updating/fetching TODO items. Each TODO item can optionally have an attachment image. Each user only has access to TODO items that he/she has created.

torch7

http://torch.ch

transfer-learning-lab

travelgram-microservices

With travelling restriction eases as the World is matching towards herd imunity, many of us secretly keep a growing travel bucket list, longing to hit the road again. Guess what, the list doesn't has to be a secret anymore. This app offers a good start, users can bring her bucket list online and keep track wherever they next land. More features are coming up to make this more helpful then it is now.

udacity-c2-restapi

udagram-microservice

Udagram is a simple cloud application that allows users to register and log into a web client, post photos to the feed, and process photos using an image filtering microservice.

xgboost_stock_prediction

XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project attempts to predict stock price direction by using the stock's daily data and indicators derived from its daily data as predictors. As such this is a classification problem.