SunilGorantla

Applying_EANNs

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Computer-Vision

Some computer vision projects written using openCV and python.

DataPrep

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

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.

Plotly-Dashboards-with-Dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

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 ;)

pyspark-tutorial

PySpark Code for Hands-on Learners

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.