129 lines
6.2 KiB
Org Mode
129 lines
6.2 KiB
Org Mode
---
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title: Projects
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---
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* Academic projects
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[fn::{-} [[./images/communities.png]]]
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** Master's thesis: [[https://github.com/dlozeve/tda-networks][Topological Data Analysis of time-dependent networks]]
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Application of the recent advances in Topological Data Analysis (TDA)
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and Persistent Homology to periodicity detection in temporal
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networks. [[./files/tdanetworks.pdf][Master's thesis dissertation]].
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** [[https://github.com/dlozeve/community-detection][Community detection]]
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Community detection algorithms and applications to a large social
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network obtained from Prestashop data. [[https://dlozeve.github.io/reveal_CommunityDetection/#/][Slides (in French)]].
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* Personal projects
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** [[https://mlochbaum.github.io/BQN/][BQN]] libraries
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- [[https://github.com/dlozeve/bqn-graphics][bqn-graphics]]: A collection of graphics-related tools for BQN
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(generate [[https://netpbm.sourceforge.net/doc/pnm.html][PNM]] images, convert between RGB and HSV, various
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colormaps).
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- [[https://github.com/dlozeve/bqn-npy][bqn-npy]]: Serialize and deserialize arrays in BQN to the Numpy [[https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html][NPY format]].
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- [[https://github.com/dlozeve/bqn-curl][bqn-curl]]: BQN HTTP library, from [[https://curl.se/libcurl/][libcurl]] FFI bindings.
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** [[https://github.com/dlozeve/sncf-bot][SNCF Bot]]
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Display the next departures at any SNCF train station. It also
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implements a bot for Mattermost.
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** [[https://github.com/dlozeve/uniplot][Uniplot]]
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Plotting tool for displaying CSV data directly in your
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terminal. Uniplot uses Unicode Braille characters and ANSI control
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codes to display line plots as text. It can be used as part of a
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standard Unix pipeline. ([[https://cons.io/][Gerbil Scheme]])
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** [[https://github.com/dlozeve/ShaderTool][ShaderTool]]
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Live tool for developing OpenGL shaders
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interactively. High-performance GPU rendering, live reloading,
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screenshots, FPS tracking. (C)
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[[https://dlozeve.github.io/ShaderTool/][Documentation.]]
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** [[https://github.com/dlozeve/reaction-diffusion][Reaction-diffusion system]]
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[fn::{-} [[./images/reactiondiffusion.png]]]
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[[https://en.wikipedia.org/wiki/Reaction%E2%80%93diffusion_system][Reaction-Diffusion system]] simulation using the Gray-Scott
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model. ([[https://www.dyalog.com/][Dyalog APL]] and [[https://mlochbaum.github.io/BQN/][BQN]])
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** [[https://github.com/dlozeve/GardenOptim][GardenOptim]]
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Optimization of a vegetable garden: optimal allocation of plant
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species on a non-rectangular garden subdivided in individual cells,
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with constraints from an affinity matrix between neighboring
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species. Uses mixed integer quadratic programming and Markov chain
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Monte Carlo.
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** [[https://github.com/dlozeve/ising-model][Ising model simulation]]
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[fn::{-} [[./images/ising.gif]]]
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Monte Carlo simulation of the [[https://en.wikipedia.org/wiki/Ising_model][Ising model]] using
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Metropolis-Hastings. [[./posts/ising-model.html][Associated blog post.]] (Clojure)
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** [[https://github.com/dlozeve/lsystems][L-systems]]
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Generate and draw L-systems. (Haskell)
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** [[https://github.com/dlozeve/Satrap][Satrap]]
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Simple ARP spoofer, allowing for interception and modification of all
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communications between two targets. It sends ARP packets to perform a
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man-in-the-middle attack. (C)
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** [[https://github.com/dlozeve/orbit][Orbit]]
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[[https://en.wikipedia.org/wiki/N-body_simulation][N-body]] simulator. (Haskell)
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** [[https://github.com/dlozeve/Civilisation-hs][Civilisation]]
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[[https://en.wikipedia.org/wiki/Boolean_satisfiability_problem][SAT solver]], using the [[https://en.wikipedia.org/wiki/DPLL_algorithm][Davis-Putnam-Logemann-Loveland]] (DPLL)
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algorithm. (Haskell)
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** [[https://dlozeve.github.io/ww2-bombings][WWII bombing visualization]]
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Every allied bombing during WWII, mapped over the whole world. The
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data has been released by the U.S. Department of Defense [[https://data.world/datamil/world-war-ii-thor-data][here]].
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** [[https://dlozeve.github.io/adsb][ADS-B data visualization]]
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Visualization of plane trajectories over Northeastern France. The data
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was gathered using a Software Defined Radio to listen to aircrafts.
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* Challenges and competitions
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- [[https://www.dyalogaplcompetition.com/][2020 APL Problem Solving Competition]]
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- My submission [[https://github.com/dlozeve/apl-competition-2020][on GitHub]]
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- Accompanying blog posts with explanations: [[./posts/dyalog-apl-competition-2020-phase-1.html][Phase I]] and [[./posts/dyalog-apl-competition-2020-phase-2.html][Phase II]]
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- 2018 APL Problem Solving Competition
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- My submission [[https://github.com/dlozeve/apl-competition-2018][on GitHub]]
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- Nominated as a [[https://www.dyalog.com/nnews/128/456/Winners-Announced-for-the-2018-APL-Programming-Contest.htm][Phase I winner]]
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- [[https://adventofcode.com/][Advent of code]]
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- [[https://git.sr.ht/~dlozeve/advent-of-code/tree/main/item/2024][2024]] (BQN)
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- [[https://github.com/dlozeve/aoc2023][2023]] (BQN)
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- [[https://github.com/dlozeve/aoc2022][2022]] (mostly BQN)
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- [[https://github.com/dlozeve/aoc2021][2021]] (mostly Chicken Scheme)
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- [[https://github.com/dlozeve/aoc2020][2020]] (50 ★) (Racket, C, Dyalog APL)
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- [[https://github.com/dlozeve/aoc2019][2019]] (Racket, Common Lisp, Dyalog APL)
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- [[https://github.com/dlozeve/aoc2018][2018]] (Scheme, Dyalog APL)
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- [[https://github.com/dlozeve/aoc2017][2017]] (Haskell, Scheme)
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- [[http://www.boundvariable.org/task.shtml][2006 ICFP Programming Contest]]: "The Cult of the Bound Variable"
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(partial)
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- Implementation of a [[https://github.com/dlozeve/bound-variable][virtual machine]] in C for a simple 32-bit
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architecture with 14 instructions, with register, heap, array
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allocation and deallocation, and character-based input and output
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- [[https://challenge.synacor.com/][Synacor Challenge]] (partial)
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- Implementation of the [[https://github.com/dlozeve/synacor][virtual machine]] in C
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- [[https://github.com/dlozeve/DocAssist][DocAssist]]: hackathon project made during [[http://oxfordhack.com/][OxfordHack]] 2017
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- Automate record and diagnosis tracking for medical practitioners
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- Automatically extract meaningful data from conversations with
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patients
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- Automatic speech recognition, entity extraction, recommendation
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system, and knowledge extraction
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