Pinned Repositories
ada-compiler
algorithms
An educational library of algorithms in Python
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.
csharp-driver
DataStax C# Driver for Apache Cassandra
django-simple-captcha
Django Simple Captcha is an extremely simple, yet highly customizable Django application to add captcha images to any Django form.
django-simple-spam-blocker
Simple spam blocker for Django
Extended-MFDFA-features
Augmented set of probabilistic features of the Multifractal Spectrum of Multifractal Detrended Fluctuation Analysis (MFDFA) is proposed which quantifies the geometrical distortion and statistical self-entanglement of the Multi-fractal spectrum and adequately captures the local and global time series singularity. The efficacy of the proposed feature set in addition to the conventional Hurst Exponent and Singularity Spectrum Width features has been discussed for its enhanced overall volatility, multi-scale strength and fractal dimension characterization along with better stability and noise immunity features.
Machine-learning-aided-Non-linear-dynamics-features-for-Optical-Diagnosis-of-Cancer-
papers
Academic articles on machine learning
Stochastic-methods-in-Structured-Low-Rank-Approximation
Sawon1234's Repositories
Sawon1234/Stochastic-methods-in-Structured-Low-Rank-Approximation
Sawon1234/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.
Sawon1234/Adversarial-Regression-with-Multiple-Learners
Code to replicate the experimental results in paper "Adversarial Regression with Multiple Learners" @ ICML 2018
Sawon1234/bundler_sfm
Bundler Structure from Motion Toolkit
Sawon1234/cmvs_pmvs_catkin
Catkinized CMVS/PMVS2
Sawon1234/covid-vaccine-booking
This very basic script can be used to automate COVID-19 vaccination slot booking on India's Co-WIN Platform.
Sawon1234/cwcf
Source code for paper Classification with Costly Features using Deep Reinforcement Learning.
Sawon1234/David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Sawon1234/deep-RL-trading
playing idealized trading games with deep reinforcement learning
Sawon1234/DeepWeeds
A Multiclass Weed Species Image Dataset for Deep Learning
Sawon1234/docs
IBM Bluemix product documentation.
Sawon1234/evaluation-2020
Evaluation code for the PhysioNet/Computing in Cardiology Challenge 2020
Sawon1234/gspbox
Graph Signal Processing in Matlab
Sawon1234/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
Sawon1234/jenkins
Jenkins automation server
Sawon1234/JuliaCourseNotebooks
Jupyter notebooks for the Julia Scientific Programming course on Coursera
Sawon1234/keras-vis
Neural network visualization toolkit for keras
Sawon1234/LSGAN
Sawon1234/Matlab-GAN
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
Sawon1234/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
Sawon1234/Netplot
A ultra-lightweight 3D renderer of the Tensorflow/Keras neural network architectures
Sawon1234/NN-SVG
Publication-ready NN-architecture schematics.
Sawon1234/numpy
The fundamental package for scientific computing with Python.
Sawon1234/predict-fraud-using-auto-ai
Use AutoAI to detect fraud
Sawon1234/project-guidelines
A set of best practices for JavaScript projects
Sawon1234/sentry
Sentry is a cross-platform crash reporting and aggregation platform.
Sawon1234/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Sawon1234/tf-keras-vis
Neural network visualization toolkit for tf.keras
Sawon1234/wfdb-python
Native Python WFDB package
Sawon1234/wound-segmentation
code and data for wound image segmentation