Aniruddha Kalburgi's repositories
Recommending-Diverse-And-Serendipitous-Movies-using-Tag-Genome
Recommending Diverse and Serendipitous Movies using Movielens Tag-Genome dataset
javawizarddevelopment
Reduced SWING coding. New UI components. Easy layout management.
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
edgar-crawler
Download financial reports. Extract clean textual data. Bootstrap your financial NLP research. Software from the accompanying paper published in ECONLP 2021.
Metaheuristic_Optimization
Metaheuristic Optimization
mutual-fund-analysis
Analysis of Mutual Fund performance in India
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.