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Name: Institute for Theoretical Computer Science, TU Graz
Type: Organization
Location: Graz, AT
Blog: http://www.igi.tugraz.at
Name: Institute for Theoretical Computer Science, TU Graz
Type: Organization
Location: Graz, AT
Blog: http://www.igi.tugraz.at
Spike frequency adaptation supports network computations on temporally dispersed information
This repo contains an example jupyter-notebook for the CML algorithm on all different kinds of the abstract random graph tasks.
Simulation code for Limbacher, T. and Legenstein, R. (2020). Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring
Code for: Kraišniković, C., Stathopoulos, S., Prodromakis, T., & Legenstein, R. (2023, March). Fault pruning: Robust training of neural networks with memristive weights. In International Conference on Unconventional Computation and Natural Computation (pp. 124-139). Cham: Springer Nature Switzerland.
Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
IGI Reading Group
Learning to Learn: Gradient-free Optimization framework
Live plots with matplotlib with a simple interface
Short for Logging Extensions, contains helper functions for python logging
NEST related header and source files containing the relevant code to implement the feature of looking back into incoming synapses.
Liquid State Machines in Python and NEST
Long short-term memory Spiking Neural Networks
Code for Limbacher, T., Özdenizci, O., & Legenstein, R. (2022). Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity. arXiv preprint arXiv:2205.11276.
The NEST simulator
Neural EVEnt-based SIMulator
Code for "Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching" [CVPR 2022]
The new python parameter exploration toolbox. pypet manages exploration of the parameter space and data storage into HDF5 files for you.
Install redis with pip
Code for "Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints" [ECML-PKDD 2024]
Code for "Adversarially Robust Spiking Neural Networks Through Conversion" [TMLR 2024]
SCOOP (Scalable COncurrent Operations in Python)
WIP
The Simulation Manager is a library for enabling reproducible scientific simulations.
An high-performance library for recording and storing simulation data
Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]
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.