mirjunaid26
Scientific Computing Consultant (AI/HPC)
University of Duisburg-EssenCologne Bonn Region, Germany
Pinned Repositories
copilot-glicid
ChatGPT for GLiCID
cuda-python
CUDA Python Low-level Bindings
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
GML2023-XavierBresson
Graph Machine Learning course, Xavier Bresson, 2023
hpc-ai-engineers-toolkit
HPC and Linux Toolbox
large-language-models
Testing different LLM's
mirjunaid26.github.io
HPC Tutorial
ml-engineer
The Large Hadron Collider (LHC) is the world’s largest and most powerful particle accelerator. The LHC was designed to discover new, unknown particles that may be produced in the collisions.
self-hosted-runner-application
Testing self-hosted runner workflow
hpc_beginning_workshop
mirjunaid26's Repositories
mirjunaid26/awesome-public-datasets
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
mirjunaid26/cuda-convnet2
Automatically exported from code.google.com/p/cuda-convnet2
mirjunaid26/cv-resume
My Curriculum Vitae / Resume
mirjunaid26/data-science-ipython-notebooks
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
mirjunaid26/deep-learning-on-graphs
mirjunaid26/graph-based-image-classification
Implementation of Planar Graph Convolutional Networks in TensorFlow
mirjunaid26/graph_cnn
mirjunaid26/gsp-graph-learning
mirjunaid26/guix
GNU Guix
mirjunaid26/lolcow
mirjunaid26/mpnn
Open source implementation of "Neural Message Passing for Quantum Chemistry"
mirjunaid26/neural-fingerprint
Convolutional nets which can take molecular graphs of arbitrary size as input.
mirjunaid26/pyconau2017-messy-sensor-data
[pyconau 2017 talk] Messy Sensor Data: A Programmer's Cleaning Guide
mirjunaid26/pyCUDA-intro
Simple 'hello world' code comparing C-CUDA and pyCUDA
mirjunaid26/pyhpc-tutorial
Python for HPC Tutorial Notebooks
mirjunaid26/w2v_server_googlenews
Code for the word2vec HTTP server running at https://rare-technologies.com/word2vec-tutorial/#bonus_app