johnrachwan123 Goto Github PK
Name: John Rachwan
Type: User
Bio: Msc in Data Engineering and Analytics at TUM. Passionate about democratizing Deep Learning.
Location: Munich
Blog: https://scholar.google.com/citations?user=dT30SK4AAAAJ&hl=en
Name: John Rachwan
Type: User
Bio: Msc in Data Engineering and Analytics at TUM. Passionate about democratizing Deep Learning.
Location: Munich
Blog: https://scholar.google.com/citations?user=dT30SK4AAAAJ&hl=en
A curated list of research papers in Sparse Neural Networks. Link to the code and project website if available.
Grid trading bot working on the Bybit ecosystem fully developed in python based language. Striving to achieve maximum finetuning by the users.
Code for coreset selection methods
Code for Winning the Lottery Ahead of Time: Efficient Early Network Pruning (ICML 2022)
Project for Advanced Algorithms Course
Smart contracts for the demonstrator to explore the post-monetary design space
Demonstrator-Frontend to explore the post-monetary design space
Flappy Bird Android App
Tutorial sessions solutions and files for the Foundations in Data Engineering Tutorial Sessions
Create and run MeshLab XML scripts with Python
out-of-core Poisson reconstruction docker
Poisson Surface Reconstruction
Command Modern Operations Learning Environment
StarCraft II Learning Environment
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.
Code for the paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
Machine learning models for time series analysis
[CVPR-2023] Towards Any Structural Pruning
[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.