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gullfosscapital's Projects

convert2yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

meshsegnet

PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization.

mkalgo

Mueen-Keogh Algorithm for finding timeseries motifs

newscatcher

Programmatically collect normalized news from (almost) any website.

newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

nlu

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

sentiment-analysis-of-financial-news-data

Sentiment Analysis of news on stock prices

stock-embeddings

Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets

stock-market-sentiment-analysis

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

stock-prediction

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

stock-prediction-1

The git is about Indian Stock market prediction.

teeth-segmentation

Teeth Segmentation

tempo

The purpose of this project is to provide an API for manipulating time series on top of Apache Spark. Functionality includes featurization using lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, and downsampling & interpolation. This has been tested on TB-scale of historical data and is unit tested for quality purposes.

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