Jason Eshraghian's Projects
Brevitas: quantization-aware training in PyTorch
Notebooks for Hardware-Aware Training of Spiking Neural Networks. Open-Source Neuromorphic Circuit Design Tutorial at ESSCIRC 2023.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Notebooks and code for Spiking Neural Network Hands-on session at the INVICTA Spring School 2024, Porto, Portugal.
Notebooks for the 2023 Tutorial: "How to Build Open Source Neuromorphic Hardware and Algorithms"
Implementation for MatMul-free LM.
gradient descent using a memristive integrate-and-fire neuron model
Notebooks for Memristec Summer School (Dresden, Germany)
A Simulation Framework for Memristive Deep Learning Systems
A community dedicated to supporting tools for technical and scientific communication and interactive computing
Convert pre-trained weights to radix-X weights
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Quantization-aware training with spiking neural networks
PyTorch implementation of SLAYER for training Spiking Neural Networks
Threshold annealing in binarized spiking neural networks
Deep and online learning with spiking neural networks in Python
A conda-smithy repository for snntorch.
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Publicly available event datasets and transforms.
A Silicon Hodgkin-Huxley Neuron on TinyTapeout
Test demo for tt08.