JeremieMelo
Assistant Professor @ ASU ECEE; PhD from UT Austin. Efficient Machine Learning & Optical Neurocomputing & Software-Hardware Codesign
Arizona State UniversityTempe, AZ
Pinned Repositories
dct_cuda
L2ight
M3ICRO-MOMMI
Machine Learning-Enabled Compact Photonic Tensor Core based on Programmable Multi-Operand Multimode Interference
Memory-Efficient-Multi-Level-Generation
Implementation of Memory-Efficient Neural Networks with Multi-Level Generation, ICCV 2021
NeurOLight
A Neural Operator-based Integrated Photonic Device Simulation Framework, NeurOLight NeurIPS 2022
pytorch-onn
A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing
pyutility
SqueezeLight
Implementation of a compact optical neural network SqueezeLight based on multi-operand micro-rings, DATE 2021
DREAMPlace
Deep learning toolkit-enabled VLSI placement
torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
JeremieMelo's Repositories
JeremieMelo/angler-gpu
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
JeremieMelo/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
JeremieMelo/pytorch_DoReFaNet
A pytorch implementation of DoReFa-Net
JeremieMelo/PythonPlot
Plot using python script with Plotly
JeremieMelo/machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
JeremieMelo/pytorch-vgg-cifar10
This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
JeremieMelo/multiagent-particle-envs
JeremieMelo/maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
JeremieMelo/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
JeremieMelo/Particle-Swarm-Optimization-with-Python
Learn about particle swarm optimization (PSO) through Python!
JeremieMelo/pytorch-cifar-models
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
JeremieMelo/CA_Grad_Lab_18Fall
JeremieMelo/High-Speed-Project
JeremieMelo/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
JeremieMelo/midas-release
MIDAS Public Release
JeremieMelo/midas-top-release
MIDAS RocketChip Template
JeremieMelo/Stanford-dogs
A Pytorch image classification using the Stanford Dogs dataset to classify an image of a dog to one of 120 breeds
JeremieMelo/pyTorch_RNN_Examples
Sequence learning using RNNs in Pytorch
JeremieMelo/midas-examples
Simple MIDAS Examples
JeremieMelo/CSAPP-Perflab
Optimization for rotate and smooth function
JeremieMelo/File_Transfer_System