tallamjr Goto Github PK

followers: 75.0 following: 300.0 repos: 259.0 gists: 6.0

Name: Tarek

Type: User

Company: @alan-turing-institute

Bio: Researcher in Applied Machine Learning, Efficient Deep Learning and Data Intensive Science @alan-turing-institute :: 🐍 + 🦀 = ❤️

Twitter: tallamjr

Blog: https://tallamjr.github.io

`@tallamjr`

About Me

My name is Tarek

🔭 I’m currently working on time-series classification and deep learning deployment through model compression
🌱 I’m currently learning probabilistic machine learning for data compression and image processing
⚡ I'm currently playing with embedded rust, jax and polars

I am a final year PhD student at the Centre for Data Intensive Science at University College London (UCL). My research focus is on the development of efficient Deep Learning algorithms for real-time classification of Astronomical transient events.

Besides my doctoral research, I enjoy exploring how latest techniques in statistical signal processing and probabilistic machine learning can be used for Learned Image Reconstruction and Learned Image Compression 🗜️ in
Embedded Systems for Embedded Machine Learning (#TinyML) 📱

Tarek's Projects

100-exercises-to-learn-rust

A self-paced course to learn Rust, one exercise at a time.

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

airsenal

Machine learning Fantasy Premier League team

amath301

Notes & Supplementary Files for AMATH301, Beginning Scientific Computation, University of Washington

aoc

Solutions for Advent of Code 🎅🏽

aoc2019

Advent of Code 2019: https://adventofcode.com/2019

apache

Collection of JIRA tickets of interest on selected Apache Software projects

applied-deep-learning

Applied Deep Learning Course

ariel

Ariel Machine Learning Data Challenge [NeurIPS 2022]

arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.