doubleplusplus Goto Github PK
Type: User
Bio: PhD in Computer Science
doubleplusplus's Projects
incremental_decision_tree-cart-random_forest
incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest
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
shell
customized Shell in Python and C
skip
Auto skip youtube videos seamlessly like AdBlockers on Safari.
time-series-forecasting-of-amazon-stock-prices-using-neural-networks-lstm-and-gan-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
transformer-neural-network
Code Transformer neural network components piece by piece
video2x
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
yen-algorithm
aka K shortest path algorithm
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