ishanyash

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

DTW-Example

Example of DTW algorithm's working.

Error-rates-on-UCR-TS

To compute error rates on UCR time series Data sets and to compare them within. This has 1NN ED, 1NN DTW, 1NN DTW(r),BOSS,SAX,BOSSVS and WEASEL Algorithms.

Indian_liver_patient

The data set consists of the data of liver diseased patients from the Indian subcontinent, and this helps building a ML model using Random Forest and Logistic regression to predict the diseased.

OpenAI_PDF_reader

but this basically provides a way to access PDF(s). This also has some drawbacks for the unpaid version of the openai version of this API. So the code snippet can read the PDFs (Can get the text from Graphs too). Further, it cleans the text by following the classic sentiment analysis way to clean it

SAX-Implementation-on-UCR-TS

Implementing Symbolic Aggregate approXimation to find the error rate and accuracy on the UCR timeseries datasets (https://www.cs.ucr.edu/~eamonn/time_series_data/).

Sensor_SVM

Time series classification using DTW distances as a feature, LIBSVM and WEASEL methods, on the Robosensor data.

Signlearning

Machine learning project made by our team at Hacktech 2019, Caltech. Tracks the pose and orientation of the user's hand and compares it against a database of know signs. Integrating more leap-motion cameras and a user friendly interface! Also, building out the gesture/sign language library!

Time-Series-classification-using-feature-extraction

Using Dynamic time warping distances as features for improved time series classification. We use DTW distances between time series as features and then predict the labels.

UCR-Time-Series-classification

To find the accuracy of the the UCR time series datasets, using kNN algorithm.

ishanyash/UCR-Time-Series-classification

To find the accuracy of the the UCR time series datasets, using kNN algorithm.

ishanyash/Error-rates-on-UCR-TS

To compute error rates on UCR time series Data sets and to compare them within. This has 1NN ED, 1NN DTW, 1NN DTW(r),BOSS,SAX,BOSSVS and WEASEL Algorithms.

ishanyash/Sensor_SVM

Time series classification using DTW distances as a feature, LIBSVM and WEASEL methods, on the Robosensor data.

ishanyash/dtaidistance

Time series distances: Dynamic Time Warping (DTW)

ishanyash/pyts-repro

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

ishanyash/Sarcasm-Detection

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

ishanyash/Using-distance-matrix-similarity-measure-with-XGBoost