Mark Omwansa's repositories
graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
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.
ROS-Robotics-Projects-SecondEdition
ROS Robotics Projects, published by Packt
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
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
PointNet_CARLA
A deep learning model trained on point clouds to control the steering of a car in the CARLA simulator. Based on the PointNet architecture.
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.
Pointfusion
Preliminary implementation of PointFusion, a fusion 3D Object Detection network that leverages both image and 3D point cloud information. The repository includes both global and dense implementation of the detector architecture. Coded in Pytorch.
towardsautonomy.github.io
Towards Autonomy
yolo-v3
Yolo v3 object detection implemented in Tensorflow.
barc
Main branch for BARC related code
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
Lidar_For_AD_references
A list of references on lidar point cloud processing for autonomous driving
lane-detector
This repository is for my article "Tutorial: Build a lane detector" published on Medium.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
dissecting-reinforcement-learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
pykitti
Python tools for working with KITTI data.
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
book2-exercises
Book 2 -- Exercises for the book
isdc-router-planner-project
Final project for "Navigating Data Structures" in the Introduction to Self Driving Cars Nanodegree
DataScienceExamples
Examples on data science as reference to blog posts.
KITTI-Dataset
Examination of the KITTI dataset.
ExtendedTargetTrackingToolbox
A python toolbox for extended target tracking
Kalman
Some Python Implementations of the Kalman Filter
vuex
Centralized State Management for Vue.js.
ipyleaflet
An IPython Widget for Leaflet Maps