John Rachwan's repositories
Winning-The-Lottery-Ahead-of-Time
Code for Winning the Lottery Ahead of Time: Efficient Early Network Pruning (ICML 2022)
Foundations-Data-Engineering-Tutorial
Tutorial sessions solutions and files for the Foundations in Data Engineering Tutorial Sessions
Awesome-Sparse-Neural-Networks
A curated list of research papers in Sparse Neural Networks. Link to the code and project website if available.
ByBit-Grid
Grid trading bot working on the Bybit ecosystem fully developed in python based language. Striving to achieve maximum finetuning by the users.
DeepCore
Code for coreset selection methods
Exam-Scheduling
Project for Advanced Algorithms Course
FIN4Contracts
Smart contracts for the demonstrator to explore the post-monetary design space
FIN4Xplorer
Demonstrator-Frontend to explore the post-monetary design space
Flappy-Bird
Flappy Bird Android App
MeshLabXML
Create and run MeshLab XML scripts with Python
outofcorepoisson
out-of-core Poisson reconstruction docker
PoissonRecon
Poisson Surface Reconstruction
SNIP-it
This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel pruning / compression algorithms for deep learning / neural networks. Amongst others it implements structured pruning before training, its actual parameter shrinking and unstructured before/during training.
time-series-machine-learning
Machine learning models for time series analysis
Torch-Pruning
[CVPR-2023] Towards Any Structural Pruning
Unified-LTH-GNN
[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang