kannanum
I am a postdoctoral researcher working on neuromorphic computing.
Gachon UniversitySouth Korea
kannanum's Stars
Intelligent-Computing-Lab-Yale/Rate-vs-Direct
[ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS
hjelmj/OpenEIS
A repository with teaching materials for electrochemical impedance spectroscopy.
bethgelab/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
rda-ela/SNN-Adversarial-Attacks
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
openBII/HNN
A programming framework based on PyTorch for hybrid neural networks with automatic quantization
mikeroyal/Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
razvanmarinescu/EB1A
EB1A Full Application - I-140 and I-485
manab-youtube/youtube_tutorials
Here you will find all the code and dataset used in the videos.
Joshwen7947/Nerd-Nook-Article
Here is the source code and CSV file from the article
rasbt/LLM-workshop-2024
A 4-hour coding workshop to understand how LLMs are implemented and used
scipy-lectures/scientific-python-lectures
Tutorial material on the scientific Python ecosystem
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
KindXiaoming/pykan
Kolmogorov Arnold Networks
AntonioTepsich/Convolutional-KANs
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.
LiveCodeBench/LiveCodeBench
Official repository for the paper "LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code"
Coder-World04/Complete-Data-Engineering
This repository contains everything you need to become proficient in Data Engineering
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
electronicvisions/jaxsnn
jaxsnn is an event-based approach to machine-learning-inspired training and simulation of SNNs, including support for the BrainScaleS-2 neuromorphic backend.
SeoLabCornell/torch2chip
Torch2Chip (MLSys, 2024)
dwarning/VA-Models
Verilog-A simulation models
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
guttag/Intro-to-Computation-and-Programming
Introduction to Computation and Programming Using Python
sp8rks/MSE2001python
Files for the MSE2001 course Introduction to Python for Materials Engineers
DeepNano-Glasgow/WireClass
patchy631/machine-learning
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.
Coder-World04/Complete-Data-Science
This repository contains everything you need to become proficient in Data Science
ml-jku/hopfield-layers
Hopfield Networks is All You Need
EmanueleGemo/SHIP
Spiking (neural network) Hardware In PyTorch: a platform developed to emulate hardware-based SNNs via compact models, integrating PyTorch learning routines.
kbknudsen/PyEIS
PyEIS: A Python-based Electrochemical Impedance Spectroscopy simulator and analyzer