Krishna Prasad Subedi's Projects
Bayesian optimization in PyTorch
Analyzing and Predicting The COVID-19 Global Cases As Well As On The Basis Of Every Possible Individual Country Using Tensorflow and Python
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Covid-19 Prediction of Nepal using Gompertz Function
This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/
Deep learning codes and projects using Python
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
TensorFlow documentation
Codes de simulation d'ondes électromagnétiques avec la méthode des différences finies en domaine temporel.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Config files for my GitHub profile.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Absorbing boundary conditions, not for solving Maxwell's Equations, but for a standard wave equation, e.g. for use with potentials.
Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning and Deformable models
Machine Learning Projects 🙍♂️, code and data sets for different kind of problems 🔥.
NIE Mysore ML workshop
:octocat: Numpy for handling n-dim array, algebraic operation, plotting, statistics, and NumPy array functions :rocket:
The fundamental package for scientific computing with Python.
:book: Theory and Models in Optimization (e.g., finding the minimum of a function, finding roots, global and local minimum)
:octocat: Pandas for Data frame, indexing, lambda functions, and Data visualization :rocket:
Set of tools aiding optimization of delivered dose (modulator design)
Collection of Particle Therapy Analytical Models
:octocat: Python Basics with fundamental datastructure, loops, functions and class, input/output, plotting
Code snippets and challenges for the "Python Is Easy" course, available at Pirple.com
Data analysis
Python Data Science Handbook: full text in Jupyter Notebooks