Name: Marco Paul Apolinario
Type: User
Company: Purdue University
Bio: Ph.D. Student in ECE at Purdue University • Neuromorphic Computing • BSc in Electronic Engineering at UNI 🇵🇪
Twitter: mapolinario94
Location: West Lafayette, Indiana
Blog: mapolinario94.github.io
Marco Paul Apolinario's Projects
Image Segmentation of Avocado Trees in Multispectral and Thermal Aerial Images Using Image Processing Techniques
Python libraries for Google Colaboratory
Project on Compressive Sensing for CS520: Computational Methods in Optimization
Code for DCT_SNN, an input encoding scheme for SNNs using DCT
Optimizing threshold and leak in LIF neurons with end-to-end backpropagation
PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct feedback alignment (DFA), and direct random target projection (DRTP).
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
Analog to Spiking Neural Network Conversion - Project for ECE57000 Artificial Intelligence Course at Purdue University
PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
[NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.
Open source process design kit for usage with SkyWater Technology Foundry's 130nm node.
Paper list for SNN based computer vision tasks.
Deep learning with spiking neural networks in Python
Tutorial for surrogate gradient learning in spiking neural networks
PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses
Repository for VOneNet models