tf-matplotlibSeamlessly integrate matplotlib figures as tensorflow summaries.
Stars: ✭ 119 (+395.83%)
Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Stars: ✭ 27 (+12.5%)
business-rules-motor-insuranceHyperon - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Hyperon.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations). It shows different possible bus…
Stars: ✭ 16 (-33.33%)
pymaeMaterials for the book "Python for Mechanical and Aerospace Engineering"
Stars: ✭ 56 (+133.33%)
blorrTools for developing binary logistic regression models
Stars: ✭ 16 (-33.33%)
PyNetsA Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
Stars: ✭ 114 (+375%)
MI-MVI 2016Semestral project for the subject Methods of computational inteligence @ fit.cvut.cz
Stars: ✭ 24 (+0%)
combining3DmorphablemodelsProject Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]
Stars: ✭ 80 (+233.33%)
jGeneticNeuralNetA Java library that trains neural networks with a genetic algorithm.
Stars: ✭ 16 (-33.33%)
paccmann kinase binding residuesComparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pubs.acs.org/doi/10.1021/acs.jcim.1c00889
Stars: ✭ 29 (+20.83%)
econtoolsEconometrics and data manipulation functions.
Stars: ✭ 96 (+300%)
basis-expansionsBasis expansion transformers in sklearn style.
Stars: ✭ 74 (+208.33%)
GaNDLFA generalizable application framework for segmentation, regression, and classification using PyTorch
Stars: ✭ 77 (+220.83%)
PyEarthScienceThe PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.
Stars: ✭ 56 (+133.33%)
dlime experimentsIn this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
Stars: ✭ 21 (-12.5%)
smognSynthetic Minority Over-Sampling Technique for Regression
Stars: ✭ 238 (+891.67%)
pycobrapython library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Stars: ✭ 111 (+362.5%)
sarviewerGenerate graphs with gnuplot or matplotlib (Python) from sar data
Stars: ✭ 60 (+150%)
dflowA lightweight library for designing and executing workflows in .NET Core
Stars: ✭ 23 (-4.17%)
nih-chest-xraysA collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
Stars: ✭ 32 (+33.33%)
StoreItemDemand(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
Stars: ✭ 24 (+0%)
ML-TrackThis repository is a recommended track, designed to get started with Machine Learning.
Stars: ✭ 19 (-20.83%)
matplotnimA Nim wrapper for matplotlib
Stars: ✭ 22 (-8.33%)
MLwebMachine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.
Stars: ✭ 85 (+254.17%)
MachineLearningMachine learning for beginner(Data Science enthusiast)
Stars: ✭ 104 (+333.33%)
vector-field-visualizerA python back-end web app to visualize a two dimensional vector field, and to calculate divergence and curl at any point.
Stars: ✭ 23 (-4.17%)
FixedEffectjlrR interface for Fixed Effect Models
Stars: ✭ 20 (-16.67%)
plot-likertPython library to visualize results from Likert scale survey questions
Stars: ✭ 54 (+125%)
gaitutilsExtract and visualize gait data
Stars: ✭ 28 (+16.67%)
cheapmlMachine Learning algorithms coded from scratch
Stars: ✭ 17 (-29.17%)
pyplot-fortranFor generating plots from Fortran using Python's matplotlib.pyplot 📈
Stars: ✭ 158 (+558.33%)
spark-annoyBuilding Annoy Index on Apache Spark
Stars: ✭ 73 (+204.17%)
tsp-essayA fun study of some heuristics for the Travelling Salesman Problem.
Stars: ✭ 15 (-37.5%)
polatoryFast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.
Stars: ✭ 82 (+241.67%)
SimpleGPSimple Genetic Programming for Symbolic Regression in Python3
Stars: ✭ 20 (-16.67%)
numericslibrary of numerical methods using Armadillo
Stars: ✭ 17 (-29.17%)
skymapperMapping astronomical survey data on the sky, handsomely
Stars: ✭ 35 (+45.83%)
php-chessA chess library for PHP.
Stars: ✭ 42 (+75%)
broomExtraHelpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍
Stars: ✭ 45 (+87.5%)
geojsoncontourConvert matplotlib contour plots to geojson
Stars: ✭ 78 (+225%)
RVM-MATLABMATLAB code for Relevance Vector Machine using SB2_Release_200.
Stars: ✭ 38 (+58.33%)
Chia-Plot-StatusGUI Tool for beginners and experts to Monitor and Analyse Chia Plotting log files, show health and progress of running plots and estimated time to completion. No setup, configuration or installation of python or whatever required. Just install and enjoy.
Stars: ✭ 187 (+679.17%)
Cuff less BP PredictionPrediction of Blood Pressure from ECG and PPG signals using regression methods.
Stars: ✭ 101 (+320.83%)
keras-audiokeras project for audio deep learning
Stars: ✭ 37 (+54.17%)
scicloj.mlA Clojure machine learning library
Stars: ✭ 152 (+533.33%)
RegressionMultiple Regression Package for PHP
Stars: ✭ 88 (+266.67%)
otvPlotsovtPlots: An R Package for Variable Level Monitoring
Stars: ✭ 13 (-45.83%)
pyCircospython Circos
Stars: ✭ 233 (+870.83%)
ai for roboticsVisualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.
Stars: ✭ 125 (+420.83%)
ml course"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Stars: ✭ 22 (-8.33%)
awesome-matplotlibA curated list of awesome repos and tutorials to develop great matplotlib graphs and diagrams
Stars: ✭ 154 (+541.67%)