Sawon Pratiher's repositories
Convex-Hull-based-Empirical-Mode-Decomposition-features
Convex Hull Analytics of Intrinsic Mode Functions as Feature vectors for Machine learning problems by employing a set of amplitude and frequency modulated (AM–FM) signals called Intrinsic mode functions (IMF’s). These IMF’s are generated by the Empirical Mode Decomposition (EMD) of time series and the analytic signal representation of these IMFs by means of Hilbert transformation forms the trace of the elliptical shaped analytic IMFs in the complex plane. The area measure and the centroid position of the polygon formed by the Convex Hull of these analytic IMF’s is taken as the discriminating features. Also, the efficacy of several potential bio-markers like Amplitude Modulation Bandwidth (BAM), Frequency Modulation Bandwidth (BFM) and Mean Frequency (MF) fromFourier-Bessel expansion for each of these analytic IMF’s has been discussed for its potency in diagnosis in statistical pattern recognition and classification problems.
Adversarial-Regression-with-Multiple-Learners
Code to replicate the experimental results in paper "Adversarial Regression with Multiple Learners" @ ICML 2018
bundler_sfm
Bundler Structure from Motion Toolkit
cmvs_pmvs_catkin
Catkinized CMVS/PMVS2
covid-vaccine-booking
This very basic script can be used to automate COVID-19 vaccination slot booking on India's Co-WIN Platform.
David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
deep-RL-trading
playing idealized trading games with deep reinforcement learning
evaluation-2020
Evaluation code for the PhysioNet/Computing in Cardiology Challenge 2020
Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.00685
JuliaCourseNotebooks
Jupyter notebooks for the Julia Scientific Programming course on Coursera
Matlab-GAN
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
MdRQA
This repository contains additional resources to the article "Multidimensional Recurrence Quantification Analysis (MdRQA) for the analysis of multidimensional time-series: A software implementation in MATLAB and its application to group-level data in joint action", Frontiers in Psychology, by Wallot, Roepstorff & Mønster, as well as to the article "Analyzing Multivariate Dynamics Using Cross-Recurrence Quantification Analysis (CRQA), Diagonal-Cross-Recurrence Profiles (DCRP), and Multidimensional Recurrence Quantification Analysis (MdRQA) – A Tutorial in R" by Wallot & Leonardi
predict-fraud-using-auto-ai
Use AutoAI to detect fraud
project-guidelines
A set of best practices for JavaScript projects
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
tf-keras-vis
Neural network visualization toolkit for tf.keras
wfdb-python
Native Python WFDB package
wound-segmentation
code and data for wound image segmentation