Spandyie

automatic-waffle

Genetic Algorithm library based on Mordern C++

Bayesian-Linear-Regression

In statistics, Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian inference. When the regression model has errors that have a normal distribution, and if a particular form of prior distribution is assumed, explicit results are available for the posterior probability distributions of the model's parameters.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

Deep-SHM

Structural Health Monitoring is one of the recent area which has not seen significant application of deep-neural network. The major limitation is due to unavailability of huge number of labeled data set.

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

L-Deep-Neural-Network

LambWave

Using Sparse-autoencoders on Lamb wave sensor data to predict size of the defect on concretes.

ParticleFilter

This project uses Particlefilter (Sequential Monte-Carlo Method) to estimate the remaining life of the structure based on Parish-Erdogan Law

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Spandyie/ParticleFilter

This project uses Particlefilter (Sequential Monte-Carlo Method) to estimate the remaining life of the structure based on Parish-Erdogan Law

Spandyie/Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Spandyie/Bayesian-Linear-Regression

In statistics, Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian inference. When the regression model has errors that have a normal distribution, and if a particular form of prior distribution is assumed, explicit results are available for the posterior probability distributions of the model's parameters.

Spandyie/automatic-waffle

Genetic Algorithm library based on Mordern C++

Spandyie/crispy-lamp

Parse the stock data of S&P500 companies and display it on a streamlit webapp

Spandyie/L-Deep-Neural-Network

Spandyie/miniature-fortnight

Tweeter data-mining project

Spandyie/a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Spandyie/arviz

Exploratory analysis of Bayesian models with Python

Spandyie/awesome-bash

A curated list of delightful Bash scripts and resources.

Spandyie/awesome-courses

:books: List of awesome university courses for learning Computer Science!

Spandyie/awesome-mlops

A curated list of references for MLOps

Spandyie/capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

Spandyie/contribute-to-open-source

Learn the GitHub workflow by contributing code in a fun simulation project

Spandyie/cppbestpractices

Collaborative Collection of C++ Best Practices

Spandyie/Exponential-regression-using-Gradient-descent

This repository contains the code that does exponential regression using gradient descent optimizer.

Spandyie/fictional-happiness

This repository contains C++ code which writes XML file

Spandyie/first-contributions

🚀✨ Help beginners to contribute to open source projects

Spandyie/materials

Bonus materials, exercises, and example projects for our Python tutorials

Spandyie/NLP

This is where I put all my work in Natural Language Processing

Spandyie/nlp_course

YSDA course in Natural Language Processing

Spandyie/project-based-learning

Curated list of project-based tutorials

Spandyie/pyGAM

[HELP REQUESTED] Generalized Additive Models in Python

Spandyie/pytorch_tutorial

PyTorch tutorial for PyData Berlin

Spandyie/scripts

System administration scripts.

Spandyie/spandanmishra.github.io

Spandyie/stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Spandyie/the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Spandyie/wxmplot

wxPython plotting widgets using matplotlib

Spandyie/Yet_Another_Algorithms_Repository

Beginner friendly repo for easily contributing algorithms' implementations