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@tallamjr

About Me

My name is Tarek

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 šŸ—œļø in
Embedded Systems for Embedded Machine Learning (#TinyML) šŸ“±

Tarek's Projects

pdsa icon pdsa

Probabilistic Data Structures and Algorithms in Python

petastorm icon petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

pispark icon pispark

Setting up a Spark cluster on Raspberry Pi's

plotly.py icon plotly.py

The interactive graphing library for Python (includes Plotly Express) :sparkles:

polars icon polars

Fast multi-threaded DataFrame library in Rust | Python | Node.js

prml icon prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

probability icon probability

Probabilistic reasoning and statistical analysis in TensorFlow

proclam icon proclam

PRObabilistic CLAssification Metrics for PLAsTiCC

pwc-reproducibility icon pwc-reproducibility

Template for writing summary report for Papers With Code's Reproducibility Challenge

pwd.sh icon pwd.sh

Unix shell, GPG-based password manager

pyo3 icon pyo3

Rust bindings for the Python interpreter

pyprobml icon pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

rasti icon rasti

RAS Techniques and Instruments Submission Template

rocksdb icon rocksdb

A library that provides an embeddable, persistent key-value store for fast storage.

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