Pinned Repositories
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's Repositories
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.