regression-models | Topic | Ecosyste.ms: Repos

Topic: "regression-models"

statsmodels/statsmodels

Statsmodels: statistical modeling and econometrics in Python

Language: Python - Size: 52.4 MB - Last synced at: 5 days ago - Pushed at: 12 days ago - Stars: 10,628 - Forks: 3,256

unslothai/hyperlearn

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Language: Jupyter Notebook - Size: 46.7 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 2,134 - Forks: 139

IndrajeetPatil/ggstatsplot

Enhancing {ggplot2} plots with statistical analysis 📊📣

Language: R - Size: 2.21 GB - Last synced at: about 13 hours ago - Pushed at: about 14 hours ago - Stars: 2,093 - Forks: 200

uber/orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Language: Python - Size: 160 MB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 1,872 - Forks: 134

bambinos/bambi

BAyesian Model-Building Interface (Bambi) in Python.

Language: Python - Size: 606 MB - Last synced at: 11 days ago - Pushed at: 24 days ago - Stars: 1,150 - Forks: 133

easystats/easystats

:milky_way: The R easystats-project

Language: R - Size: 560 MB - Last synced at: 5 days ago - Pushed at: 14 days ago - Stars: 1,122 - Forks: 82

ddsjoberg/gtsummary

Presentation-Ready Data Summary and Analytic Result Tables

Language: R - Size: 690 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1,109 - Forks: 133

moderndive/ModernDive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Language: HTML - Size: 1.35 GB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 771 - Forks: 501

VivekPa/IntroNeuralNetworks

Introducing neural networks to predict stock prices

Language: Python - Size: 31.3 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 756 - Forks: 206

joanby/python-ml-course

Curso de Introducción a Machine Learning con Python

Language: Jupyter Notebook - Size: 518 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 729 - Forks: 1,540

easystats/parameters

:bar_chart: Computation and processing of models' parameters

Language: R - Size: 105 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 461 - Forks: 39

maykulkarni/Machine-Learning-Notebooks

Machine Learning notebooks for refreshing concepts.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 420 - Forks: 218

StatisticalRethinkingJulia/StatisticalRethinking.jl 📦

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Language: Julia - Size: 1.23 GB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 392 - Forks: 35

NishkarshRaj/100DaysofMLCode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Language: Jupyter Notebook - Size: 41.2 MB - Last synced at: 29 days ago - Pushed at: about 2 months ago - Stars: 331 - Forks: 164

zavtech/morpheus-core

The foundational library of the Morpheus data science framework

Language: Java - Size: 56.1 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 240 - Forks: 22

Netanelshoshan/freqAI-LSTM

A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks

Language: Python - Size: 59.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 204 - Forks: 71

Mandal-21/Flight-Price-Prediction

Now you can get Flight ticket fare with this wonderful end to end project.

Language: Jupyter Notebook - Size: 8.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 204 - Forks: 345

StatsReporting/stargazer

Python implementation of the R stargazer multiple regression model creation tool

Language: Jupyter Notebook - Size: 439 KB - Last synced at: 15 days ago - Pushed at: 10 months ago - Stars: 201 - Forks: 53

strengejacke/sjstats

Effect size measures and significance tests

Language: R - Size: 5.25 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 190 - Forks: 21

mfarragher/appelpy

Applied Econometrics Library for Python

Language: Python - Size: 437 KB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 175 - Forks: 15

Diyago/ML-DL-scripts

The repository provides usefull python scripts for ML and data analysis

Language: Jupyter Notebook - Size: 277 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 173 - Forks: 80

dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Language: Python - Size: 4.54 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 160 - Forks: 59

aml4td/website

Website sources for Applied Machine Learning for Tabular Data

Language: TeX - Size: 798 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 136 - Forks: 12

differential-machine-learning/notebooks

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

Language: Jupyter Notebook - Size: 51.6 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 133 - Forks: 51

gcarq/keras-timeseries-prediction

Time series prediction with Sequential Model and LSTM units

Language: Python - Size: 59.6 KB - Last synced at: about 1 month ago - Pushed at: over 8 years ago - Stars: 118 - Forks: 52

joanby/r-course

Una introduccion al analisis de datos con R y R Studio

Language: Java - Size: 122 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 117 - Forks: 421

IQSS/Zelig

A statistical framework that serves as a common interface to a large range of models

Language: R - Size: 110 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 108 - Forks: 43

llhthinker/MachineLearningLab

Some experiments about Machine Learning

Language: Python - Size: 74.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 107 - Forks: 193

QuentinAndre/pyprocessmacro

A Python library for moderation, mediation and conditional process analysis.

Language: Python - Size: 5.98 MB - Last synced at: 26 days ago - Pushed at: about 3 years ago - Stars: 94 - Forks: 28

m-clark/bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

Language: Stan - Size: 93 MB - Last synced at: 11 days ago - Pushed at: about 3 years ago - Stars: 84 - Forks: 26

JuliaAI/MLJLinearModels.jl

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Language: Julia - Size: 583 KB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 81 - Forks: 13

ROHANNAIK/Sales-Prediction

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 72 - Forks: 37

kanchen-usc/QRC-Net

Implementation of Query-guided Regression Network with Context Policy for Phrase Grounding in Tensorflow

Language: Python - Size: 203 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 72 - Forks: 21

robertvacareanu/llm4regression

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

Language: Python - Size: 12.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 66 - Forks: 7

hongooi73/glmnetUtils

Utilities for glmnet

Language: R - Size: 318 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 65 - Forks: 18

rnburn/bbai

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Language: Python - Size: 1.13 GB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 62 - Forks: 2

brian-j-smith/MachineShop

MachineShop: R package of models and tools for machine learning

Language: R - Size: 13.9 MB - Last synced at: 20 days ago - Pushed at: 9 months ago - Stars: 62 - Forks: 9

Ohjeah/sparsereg 📦

a collection of modern sparse (regularized) linear regression algorithms.

Language: Python - Size: 568 KB - Last synced at: 18 days ago - Pushed at: about 5 years ago - Stars: 61 - Forks: 21

fsolt/dotwhisker

Dot-and-Whisker Plots of Regression Results

Language: BibTeX Style - Size: 10.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 60 - Forks: 10

ModelOriented/auditor

Model verification, validation, and error analysis

Language: R - Size: 50.6 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 58 - Forks: 13

aravind-selvam/forest-fire-prediction

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: 29 days ago - Pushed at: about 2 years ago - Stars: 58 - Forks: 18

tohtsky/myFM

A Python/C++ implementation of Bayesian Factorization Machines

Language: C++ - Size: 1.42 MB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 55 - Forks: 14

briatte/srqm

An introductory statistics course for social scientists, using Stata

Language: TeX - Size: 280 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 50 - Forks: 18

IndrajeetPatil/broomExtra 📦

Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍

Language: R - Size: 13.8 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 48 - Forks: 7

pansism/downscale-satelliteLST

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

Language: Python - Size: 93.1 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 47 - Forks: 24

heliphix/btc_data

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 45 - Forks: 29

Drinkler/Yield-Prediction

:seedling: Crop Yield Prediction using Machine Learning

Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 44 - Forks: 23

mrtkp9993/Statistical-Modeling-Examples

Basic statistical modelling examples.

Language: R - Size: 5.16 MB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 42 - Forks: 17

meiyulee/MathAI

免費數字驅動的數學模型人工智能 | 為你的數字規律建立數學模型 | C語言免安裝軟體

Language: Batchfile - Size: 44.5 MB - Last synced at: 11 days ago - Pushed at: 12 months ago - Stars: 38 - Forks: 1

Sakib1263/TF-1D-2D-ResNetV1-2-SEResNet-ResNeXt-SEResNeXt

Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).

Language: Jupyter Notebook - Size: 3.13 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 36 - Forks: 9

SebastianRokholt/Hybrid-Recommender-System

A repository for a machine learning project about developing a hybrid movie recommender system.

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 35 - Forks: 13

DSC-JSS-NOIDA/ML-Hub

A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.

Language: Jupyter Notebook - Size: 25.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 34 - Forks: 34

LenzDu/Kaggle-Competition-Sberbank

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

Language: Python - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 34 - Forks: 14

IamMayankThakur/gold-price-analysis

Creating a model to analyze and predict the trend of the prices of gold.

Language: Jupyter Notebook - Size: 778 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 33 - Forks: 26

config-i1/greybox

Regression model building and forecasting in R

Language: R - Size: 4.43 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 31 - Forks: 7

graemeleehickey/joineRML

R package for fitting joint models to time-to-event data and multivariate longitudinal data

Language: R - Size: 8.99 MB - Last synced at: about 19 hours ago - Pushed at: 3 months ago - Stars: 31 - Forks: 12

zeglam/Countries-GDP-prediction

Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 31 - Forks: 13

luxedo/calcuMLator

An intelligently dumb calculator that uses machine learning

Language: Python - Size: 100 MB - Last synced at: 26 days ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 3

ooples/AiDotNet

A new library for all of the newest ai algorithms

Language: C# - Size: 5.66 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 29 - Forks: 7

ritu-thombre99/RUL-Prediction

Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM

Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: 19 days ago - Pushed at: over 3 years ago - Stars: 29 - Forks: 10

ecoronado92/towards_data_science

Repo containing code for Towards Data Science articles

Language: HTML - Size: 92.6 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 29 - Forks: 21

vshantam/Age-Prediction

This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.

Language: Python - Size: 72.4 MB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 29 - Forks: 9

sanjitva/Predicting-Football-Player-Transfer-Values

Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.

Language: Jupyter Notebook - Size: 89.2 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 28 - Forks: 5

dependable-cps/adversarial-MTSR

Language: Python - Size: 23 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 16

anacaballero/ML-Finance

Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models, xgboost models, and neural network models. Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. Evaluate performance of the models in order to optimize them Get predictions with enough accuracy to make a stock trading strategy profitable.

Language: Jupyter Notebook - Size: 8.85 MB - Last synced at: 6 months ago - Pushed at: about 6 years ago - Stars: 28 - Forks: 14

amkatrutsa/DeepPDE

Deep Learning application to the partial differential equations

Language: Jupyter Notebook - Size: 990 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 28 - Forks: 16

differential-machine-learning/appendices

Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production

Size: 3.74 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 12

DannyVanpoucke/LSSVMlib

This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 26 - Forks: 13

CarsonScott/CALM

Conditional Associative Logic Memory

Language: Python - Size: 1.28 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 3

dependable-cps/AdversarialAttack-PHM

Language: Python - Size: 9.78 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 12

ditikrushna/Predict-Sales-Revenue-Using-Multiple-Regression-Model

In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 24 - Forks: 25

MajorLift/volatility-modeling-python-datasci

Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."

Language: HTML - Size: 4.08 MB - Last synced at: 15 days ago - Pushed at: 4 months ago - Stars: 21 - Forks: 4

boennecd/rollRegres

R package for fast rolling and expanding linear regression models

Language: R - Size: 121 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 21 - Forks: 2

prateekiiest/titanic_survival_exploration

Udacity Machine Learning Nano degree Program Project Predicting Passenger Survival

Language: Jupyter Notebook - Size: 719 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 20 - Forks: 34

mdh266/NYCBuildingEnergyUse

Creating Regression Models Of Building Emissions On Google Cloud

Language: Jupyter Notebook - Size: 21 MB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 19 - Forks: 6

chicago-joe/Python-ML-for-Financial-Applications

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

Language: Python - Size: 7.06 MB - Last synced at: 2 days ago - Pushed at: almost 6 years ago - Stars: 19 - Forks: 6

WillBrennan/AgeRegression

AgeRegression tries to guess the age of a person from their photo! Its a basic example of how to use a CNN for regression in pytorch.

Language: Python - Size: 1.65 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 4

PEC-CSS/slowmokit

Library which can be used for machine learning in C++.

Language: CMake - Size: 1.79 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 16

Mamba413/bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

Language: C++ - Size: 20.7 MB - Last synced at: 22 days ago - Pushed at: about 4 years ago - Stars: 17 - Forks: 2

thieu1995/IntelELM

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 2 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 4

mayankchaudhary26/Training-Reports

📝This file contains all my college training reports (summer & winter)

Size: 34.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 0

Global-Policy-Lab/gpl-covid

Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:

Language: Jupyter Notebook - Size: 381 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 16 - Forks: 13

matheommb/Estadistica-2

Repositorio github del curso Estadística 2 por Matheo Muñoz Betancur

Language: R - Size: 77.8 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 15 - Forks: 14

ShaonBhattaShuvo/Deep-Learning-Workshop

The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.

Language: Python - Size: 216 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 21

BanaanKiamanesh/DL-for-Navigation

Implementation of Regression Models on Navigation with IMUs.

Language: Python - Size: 14.3 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 2

blurred-machine/RNN-based-Stock-Price-Prediction-using-LSTM

This repository will consist of a Long Short-Term Memory implementation of a Recurrent Neural Network used to predict the stock prices of Google Stocks for the next working day based on their past few days opening price trends.

Language: Python - Size: 3.21 MB - Last synced at: 14 days ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 9

lucko515/regression-python

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: 26 days ago - Pushed at: almost 8 years ago - Stars: 15 - Forks: 39

jxareas/Linear-Regression

Data Wrangling, Linear Models & other misc. Inferential Statistics.

Language: R - Size: 892 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 0

RicardoMoya/Data_Science_Introduction_With_Python

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.

Language: Jupyter Notebook - Size: 29.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 8

jhrcook/tidy-tuesday

#TidyTuesday to practice data analysis in R

Language: R - Size: 53.5 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 5

atifkarim/Time-Series-Forecasting-Using-Machine-Learning-Algorithm

Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.

Language: Jupyter Notebook - Size: 121 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 2

sayarghoshroy/Intro_to_DL_tutorial

Material for introduction to Deep Learning Tutorials, Summer '20, '21

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 2

bhattbhavesh91/multivariate-adaptive-regression-splines-demo

A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 22 days ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 8

katreparitosh/Water-Quality-Analysis

Analytical understanding and applying parameter optimization, regression with gradient descent to predict water quality levels across Indian waters.

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 4

shilpakancharla/event-based-velocity-prediction-snn

Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit of using SNNs and neuromorphic technology is the ability to optimize the size, weight, and power consumed in a system. SNNs can be trained and employed in various robotic and computer vision applications; we attempt to use event-based to create a novel approach in order to the predict velocity of objects moving in frame. Data generated in this work is recorded and simulated as event camera data using ESIM. Vicon motion tracking data provides the ground truth position and time values, from which the velocity is calculated. The SNNs developed in this work regress the velocity vector, consisting of the x, y, and z-components, while using the event data, or the list of events associated with each velocity measurement, as the input features. With the use of the novel dataset created, three SNN models were trained and then the model that minimized the loss function the most was further validated by omitting a subset of data used in the original training. The average loss, in terms of RMSE, on the test set after using the trained model on the omitted subset of data was 0.000386. Through this work, it is shown that it is possible to train an SNN on event data in order to predict the velocity of an object in view. (Spring 2022 MS Computer Science Thesis - North Carolina State University)

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0