kvlvn

birdwatching

Tools for algorithmic trading using the Robin Stocks library. Goal is to be able to quickly test and implement simple trading strategies.

cheminapc

X-ray Diffraction data analysis software, developed for the CheMin team of NASA's Mars Science Laboratory

cnmf

repackaged constrained matrix factorization algorithm for analysis of calcium imaging data

Credit-Card-Fraud-Detection-using-Extreme-Gradient-Boosting

Credit Card Fraud Detection using Extreme Gradient Boosting

CTR-structure

This software performs a structure refinement of surfaces within the framework of Bayesian inference based on a CTR scattering dataset.

FuzzyCMeans

A Python implementation of Fuzzy C Means Clustering algorithm.

jupyter-text2code

A proof-of-concept jupyter extension which converts english queries into relevant python code

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

PADNet-XRD

Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns.

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

kvlvn/CTR-structure

This software performs a structure refinement of surfaces within the framework of Bayesian inference based on a CTR scattering dataset.

kvlvn/jupyter-text2code

A proof-of-concept jupyter extension which converts english queries into relevant python code

kvlvn/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

kvlvn/PADNet-XRD

Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns.

kvlvn/t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

kvlvn/birdwatching

Tools for algorithmic trading using the Robin Stocks library. Goal is to be able to quickly test and implement simple trading strategies.

kvlvn/cheminapc

X-ray Diffraction data analysis software, developed for the CheMin team of NASA's Mars Science Laboratory

kvlvn/FuzzyCMeans

A Python implementation of Fuzzy C Means Clustering algorithm.

kvlvn/Image-Classification-using-Keras

Building a powerful image classifier, using only very few training examples --just a few hundred or thousand pictures from each class you want to be able to recognize.

kvlvn/imageClassification

This project build and apply a deep neural network to supervised learning of cat vs non-cat classification.

kvlvn/pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

kvlvn/PossibilisticCMeans

Implementation of Fuzzy C-Means and Possibilistic C-Means

kvlvn/Puzzles

Some puzzles solved using python

kvlvn/PyChemia

Python Materials Discovery Framework

kvlvn/python-ternary

:small_red_triangle: Ternary plotting library for python with matplotlib

kvlvn/radie

Rapid Data Import Environmnent

kvlvn/Reproducible-data-analyis

Creating Python pkg and Unsupervised Clustering Using Gaussian mixture model (GMM)

kvlvn/robin_stocks

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

kvlvn/SAXS_IgorCode

Irena, Nika, and Indra SAXS Igor code by Jan Ilavsky

kvlvn/SciAnalysis

SciAnalysis is a set of Python scripts for batch processing of image data, including x-ray scattering detector images.

kvlvn/scikit-cmeans

Flexible, extensible fuzzy c-means clustering in python.

kvlvn/simulated-unsupervised-tensorflow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

kvlvn/Stock-Time-Series-Analysis

Mathematical modeling for finantial time series data

kvlvn/TensorANFIS

A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

kvlvn/tensorflow-for-poets-2

kvlvn/veidt

Veidt is a deep learning library for materials science.

kvlvn/XRayDawgz

kvlvn/xrayutilities

xrayutilities - a package with useful scripts for X-ray diffraction physicists

kvlvn/XRD_data_clustering

A large sets of XRD data grouped into separate clusters using fuzzy c-means clustering.

kvlvn/xrdfit

Fitting of peaks from SXRD experiment for single and dual-phase Zr and Ti alloys.