Mark Omwansa's starred repositories
python-mastery
Advanced Python Mastery (course by @dabeaz)
practical-python
Practical Python Programming (course by @dabeaz)
simpleaichat
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
awesome-design-patterns
A curated list of software and architecture related design patterns.
Data-Engineering-Projects
Personal Data Engineering Projects
data-engineering-zoomcamp
Free Data Engineering course!
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
LiDAR_fog_sim
LiDAR fog simulation
python-chess
A chess library for Python, with move generation and validation, PGN parsing and writing, Polyglot opening book reading, Gaviota tablebase probing, Syzygy tablebase probing, and UCI/XBoard engine communication
book3-exercises
Book 3 Advanced Web Dev with Django 1.7 -- Exercises for the book
book2-exercises
Book 2 -- Exercises for the book
python-basics-exercises
Python Basics: A Practical Introduction to Python 3
production-tools
A bare-bones repository demonstrating how to set up tools for data science projects that will help you write higher quality code.
unadversarial
Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"
Hands-On-Intelligent-Agents-with-OpenAI-Gym
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ArnaldoGunzi_CarNDAdvancedLaneFinding
Advanced Lane Finding - Project 4 on Udacity's self driving car nanodegree
snail-pytorch
Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
Faster-RCNN_TF
Faster-RCNN in Tensorflow
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.