Yang-J-LIN
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A simple MIPS-like CPU demo in C++ for Xilinx Vivado HLS
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
Brevitas: neural network quantization in PyTorch
Low Precision Arithmetic Simulation in PyTorch
Compact LSTM inference kernel (CLINK) designed in C/HLS for FPGA implementation.
Repository for content for the AMLD2020 workshop "Spiking neural networks for real-time inference tasks"
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Tutorial for surrogate gradient learning in spiking neural networks
A Latex style and template for paper preprints (based on NIPS style)
FLIMLib: a package for exponential curve fitting of fluorescence lifetime image data
Convert Beker&Hickl, PicoQuant and other formats to Photon-HDF5
Demo Code for PicoQuants Time Tagged File Formats
Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
A Python library for creating and simulating large-scale brain models
A computational platform for studying spiking neural circuits developed by Dr. Pulin Gong's group at University of Sydney.
State of the art fluorescence lifetime imaging analysis software
A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
A novel FPGA-based intent recognition systemutilizing deep recurrent neural networks
EPFL Machine Learning Course, Fall 2023
This package contains deep learning models and related scripts for RoseTTAFold
Simulation of spiking neural networks (SNNs) using PyTorch.