Name: Colin Shaw
Type: User
Company: @CedarStreetGarage @CompScienceClub @AuteurAudio
Bio: Machine learning / deep learning, motion control, path planning, robotics, electronics and more. Mainly Python, C/C++ and OCaml.
Location: Rogers, AR
Colin Shaw's Projects
Turn-in project for Udacity's self-driving car program
Turn-in project for Udacity's self-driving car program related to using MPC for car simulator control
Submission project for Udacity's self-driving car program having to do with using a particle filter for vehicle localization
The path planning project for term 3 of Udacity's self-driving car program
Turn-in project for Udacity's self-driving car program regarding PID control of a simulated car
This is a turn-in project for Udacity's self-driving car program implementing unscented Kalman filters
Various models for forecasting Poisson processes with cyclic underlying variability
Image segmentation of disgusting trash
How to write a simple static lib program for Docker
Testing Fundamentals
A fast classifier for small training example cat face labeling
List of books I have read and found worthwhile regarding functional programming
Visualization of the VGG16 weights in a Jupyer notebook
List of books and other resources that are related to deep learning
Example of grievance with people claiming things are functional in their favorite imperative language
Example extension for initializing Bigarray types that are allocated on cache lines
Primitive functions for FIR filters with emphasis on evaluating the generated code
FIR and Upsampling Filters in OCaml
Example of computing n-dimensional hyperspheres by Monte Carlo methods, both threaded and non-threaded
An OCaml toy for monadic pluggable bridging between libmpg123 and libao
A really simple OCaml FFT
OCaml and C code for single frame video capture in OCaml
Behavior cloning in Python using the Udacity car simulator
Black box visualization of the convolutional neural network used in behavior cloning
A collection of deep learning toy projects in Python that have merit for future reference
A Keras project with similarly sized encoder-decoder and u-net networks applied to identifying cars
An example of deploying a Keras VGG16 ImageNet classifier using Flask
Segmentation model for detecting pets images (or whatever)
An exploration of deep network efficiency and power using polynomial models
Basic lane line detection project for Udacity's self-driving car program