itsayushthada
Professional Data Scientist || Machine Learning || Probabilistic & Differentiable Programming ||
Wells fargoBengaluru, India
Pinned Repositories
Bayesian-Statistics
Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]
CMI-Code-Practice
Repository maintained by students for self-study and practice.
Image-To-Caption
A tensorflow based image to caption toy project. I'll start work on it soon to write an estimator for it.
MIT-16.065-with-Julia
MIT includes solutions for all exercises of MIT's course Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018, taught by Gilbert Strang
Particle-Physics-Experiments
Data Analysis and Machine Learning Models for High Energy Physics and Particle Physics experiments associated with ATLAS and CMS detectors.
PGMs
Repository for tasks like Representation, Inference and Learning of Probabilistic Graphical Models.
Probabislitc-Deep-Learning
Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.
Residual-Networks
Residual Network is a deep network in which there are many shortcuts or skip connections which allow us to go deeper in the network.
Solaris
A small C project which calculates day length, sunrise, sunset and twilight (astronomical, civil and nautical) time from date, latitude and longitude according to UTC of the place.
Text-To-Image
A Pytorch based toy project for caption to image generator using th GAN-CLS. Flickr-30K has been used for the image generation.
itsayushthada's Repositories
itsayushthada/Bayesian-Statistics
Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]
itsayushthada/Text-To-Image
A Pytorch based toy project for caption to image generator using th GAN-CLS. Flickr-30K has been used for the image generation.
itsayushthada/Probabislitc-Deep-Learning
Exploration of TensorFlow-2 and TensorFlow probability to implement Bayesian Neural Networks, Normalizing flows, real NVPs and Autoencoders. Exploration of Bayesian Modelling and Variational Inference with Pyro.
itsayushthada/CMI-Code-Practice
Repository maintained by students for self-study and practice.
itsayushthada/ML-on-IBM-Watson
Notebooks for Advanced Data Science with IBM Specialization
itsayushthada/Particle-Physics-Experiments
Data Analysis and Machine Learning Models for High Energy Physics and Particle Physics experiments associated with ATLAS and CMS detectors.
itsayushthada/Time-Series-Analysis
itsayushthada/UTA-Fall2019
Presentations, Assignments and Python Notebooks for Machine Learning class, CSE4020.
itsayushthada/CBIVR
Project for COntent Based IMage and Video Retrieval
itsayushthada/Cloud-Based-Assistant
A cloud based technical assistant.
itsayushthada/Frequency-Modelling
This is the project work related to the modelling of Frequency and associated parameters using Machine Learning.
itsayushthada/UEFI-Boot-Loader
A UEFI-Boot-Loader
itsayushthada/PGMs
Repository for tasks like Representation, Inference and Learning of Probabilistic Graphical Models.
itsayushthada/Digital-Signal-Processing
itsayushthada/Discrete-Optimization
itsayushthada/DMML-Class
CMI's Data Mining and Machine Learning Class 2021.
itsayushthada/Exploration
itsayushthada/FastAI2019
This repository created to practice fastai module as well as to benchmark the dataset for various tasks using it. Though I'm following Jeremy Howard's session for now, but I've some other plans for it.
itsayushthada/FlashCard
Words Logger
itsayushthada/Geometric-Machine-Learning
itsayushthada/getting-started-with-git-and-github
Explaining Git and GitHub.
itsayushthada/GO-Practice
Exploring Go
itsayushthada/hep_ml
Machine Learning for High Energy Physics.
itsayushthada/matjek
This site is created for the purpose of sharing my knowledge about Mathematics, Machine Learning, Deep Learning, High Performance Computing, and Financial Markets & Investment Strategies.
itsayushthada/ML-Overview-2024
itsayushthada/My-Latex-Templates
Some common latex template for my work.
itsayushthada/Scrappers
Small Python scripts for scrapping the data from various sources like Twitter.
itsayushthada/Statistical-Mechanics
Statistical Modelling for the Problem related to the field of Classical and Quantum Mechanics.
itsayushthada/SVD-on-Spark
itsayushthada/UTA-Winter-2019-2020
Presentations, Assignments and Code Notebooks for Content Based Image and Video Retrieval class, CSE3018