gourav3017

Applied-Machine-Learning-in-Python

This course includes my assignment codes for Applied Machine learning in Python by University of Michigan

Information-Engineering-IE590

This course introduced me to the domain of Computer science & Quantum computing and gave me hands on experience in developing software, websites

python-storage

binary tree, graph, linked list, trie, min heap, and more (data structures & algorithms)

Stanford-Machine-Learning

This repo includes stanford machine learning notes and projects which helped me to understand the underlying mathematics behind machine learning algorithms and how to apply them in the real world

Uncertainty-Quantification-MA598

This repository includes all the handouts and homework which I have been through the course

DoseRTX

Domain knowledge driven 3D radiation dose prediction [PMB'22]

CompressRTP

Compressed Radiation Treatment Planning [NeurIPS'24, PMB'23]

ECHO-VMAT

Automated VMAT Planning [PMB'21, PMB'23]

PortPy

Opensource Python project for cancer radiation treatment planning [AAPM'23]

gourav3017/Applied-Machine-Learning-in-Python

This course includes my assignment codes for Applied Machine learning in Python by University of Michigan

gourav3017/Information-Engineering-IE590

This course introduced me to the domain of Computer science & Quantum computing and gave me hands on experience in developing software, websites

gourav3017/PortPy

PortPy package

gourav3017/Stanford-Machine-Learning

This repo includes stanford machine learning notes and projects which helped me to understand the underlying mathematics behind machine learning algorithms and how to apply them in the real world

gourav3017/Uncertainty-Quantification-MA598

This repository includes all the handouts and homework which I have been through the course

gourav3017/Algorithm

It's algorithms practical problem different thinking searching, sorting and other algorithm.

gourav3017/awesome-agriculture

Awesome open source tools, software and APIs related to Agriculture

gourav3017/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

gourav3017/cjekel.github.io

Charles Jekel personal website http://jekel.me

gourav3017/CVX

A MATLAB system for disciplined convex programming

gourav3017/data

Data-Test

gourav3017/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

gourav3017/Developing-Web-pages

gourav3017/ECE695-Project

Project Files

gourav3017/Gitfiles

gourav3017/gourav3017.github.io

gourav3017/GPy

Gaussian processes framework in python

gourav3017/handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

gourav3017/introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

gourav3017/LRWC

gourav3017/matRad

An open source multi-modality radiation treatment planning sytem

gourav3017/notebook

Jupyter Interactive Notebook

gourav3017/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 ;)

gourav3017/pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

gourav3017/python-algorithms

Algorithms and data structures in Python

gourav3017/python-certificate

gourav3017/python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

gourav3017/scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

gourav3017/todo

A simple todo list app built in HTML, CSS and JavaScript

gourav3017/uq-course

Introduction to Uncertainty Quantification