aniruddhakal

aniruddhakal.github.io

AniruddhaKalburgi

arxiv_transformers_based_topic_modeling

BigDataProcessing

javawizarddevelopment

Reduced SWING coding. New UI components. Easy layout management.

KnowledgeRepresentation

Metaheuristic_Optimization

Metaheuristic Optimization

Recommending-Diverse-And-Serendipitous-Movies-using-Tag-Genome

Recommending Diverse and Serendipitous Movies using Movielens Tag-Genome dataset

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

aniruddhakal/Recommending-Diverse-And-Serendipitous-Movies-using-Tag-Genome

Recommending Diverse and Serendipitous Movies using Movielens Tag-Genome dataset

aniruddhakal/javawizarddevelopment

Reduced SWING coding. New UI components. Easy layout management.

aniruddhakal/the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

aniruddhakal/aniruddhakal.github.io

aniruddhakal/AniruddhaKalburgi

aniruddhakal/arxiv_transformers_based_topic_modeling

aniruddhakal/BigDataProcessing

aniruddhakal/DeepLearning

aniruddhakal/edgar-crawler

Download financial reports. Extract clean textual data. Bootstrap your financial NLP research. Software from the accompanying paper published in ECONLP 2021.

aniruddhakal/KnowledgeRepresentation

aniruddhakal/MachineLearning

aniruddhakal/Metaheuristic_Optimization

Metaheuristic Optimization

aniruddhakal/mutual-fund-analysis

Analysis of Mutual Fund performance in India

aniruddhakal/RecommenderSystems

aniruddhakal/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.