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Hi there!

🚀 About Me

🎓 Welcome to my GitHub profile. I am Christopher Dzuwa, a Machine Learning (ML) and Extended Reality (XR) Enthusiast. I am particularly interested in applying concepts from pure mathematics to solve engineering problems. My primary areas of interest include Group Theory, Graph Theory, Measure Theory, Metric Spaces, and Mathematical Statistics.

👨‍💻 I enjoy contributing to Open Source Projects and working on some cool stuff.

📚 I also love reading books and some of my favourite include Probabilistic Machine Learning by Kevin P. Murphy, Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville,Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong, Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering by Steven H. Strogatz, and High Performance Computing by John Levesque

🖥️ Workspace Setup

i5-8th-gen gtx-1060 windows vs-code

Thank you for visiting my profile. I hope you find something useful here. 🥺

Christopher Dzuwa's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

bayesian-neural-networks icon bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

brieffiniteelement.net icon brieffiniteelement.net

BriefFiniteElementDotNET (BFE.NET) is a library for linear-static Finite Element Method (FEM) analysis of solids and structures in .NET

buckinghampy icon buckinghampy

Python code that implement the Buckingham-Pi theorem for different variables and return all possible dimensionless pi terms

clearviewai icon clearviewai

computer vision library for training neural networks

composite_cdm_tan icon composite_cdm_tan

3D continuum damage mechanics model for composite materials implemented in Fortran (Abaqus Explicit VUMAT).

cppcoreguidelines icon cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cutagi icon cutagi

CUDA implementation of Tractable Approximate Gaussian Inference

drawio icon drawio

draw.io is a JavaScript, client-side editor for general diagramming.

epanet icon epanet

The Water Distribution System Hydraulic and Water Quality Analysis Toolkit

epanet-js icon epanet-js

Model a water distribution network in JavaScript using the OWA-EPANET engine

ffak_oedk icon ffak_oedk

Project developed by OEDK students in the summer of 2017

kalman-and-bayesian-filters-in-python icon 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.

knowledge_evolution icon knowledge_evolution

(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets

latex-ocr icon latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

manim icon manim

A community-maintained Python framework for creating mathematical animations.

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