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/pytorch-onn
A PyTorch Library for Photonic Integrated Circuit Simulation and Photonic AI Computing
JeremieMelo/NeurOLight
A Neural Operator-based Integrated Photonic Device Simulation Framework, NeurOLight NeurIPS 2022
JeremieMelo/L2ight
JeremieMelo/dct_cuda
JeremieMelo/M3ICRO-MOMMI
Machine Learning-Enabled Compact Photonic Tensor Core based on Programmable Multi-Operand Multimode Interference
JeremieMelo/pyutility
JeremieMelo/ADEPT
Automatic differentiable design of photonic tensor cores
JeremieMelo/SqueezeLight
Implementation of a compact optical neural network SqueezeLight based on multi-operand micro-rings, DATE 2021
JeremieMelo/ism-cuda
CUDA independent set matching
JeremieMelo/Memory-Efficient-Multi-Level-Generation
Implementation of Memory-Efficient Neural Networks with Multi-Level Generation, ICCV 2021
JeremieMelo/EE382M-S22-A-Star-Search
JeremieMelo/EE382M-S22-FM-BiPartition
Coding assignment 1 for EE382M-Spring 2022 VLSI Physical Design Automation
JeremieMelo/HPEngine
optical addernet and dot product engine
JeremieMelo/Multi-Scale-High-Resolution-Vision-Transformer
This is an official implementation for "Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation".
JeremieMelo/jeremiemelo.github.io
My personal website
JeremieMelo/pytorch-onn-doc
JeremieMelo/AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
JeremieMelo/CSWin-Transformer
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped
JeremieMelo/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
JeremieMelo/HRViT
HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.
JeremieMelo/limbo018.github.io
Github Page
JeremieMelo/mwt-operator
Multiwavelets-based operator model
JeremieMelo/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
JeremieMelo/pytorch-cifar
95.16% on CIFAR10 with PyTorch
JeremieMelo/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
JeremieMelo/pytorch-msssim
PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss
JeremieMelo/Resume
JeremieMelo/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
JeremieMelo/tltorch-cuda-embed
TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
JeremieMelo/vision
Datasets, Transforms and Models specific to Computer Vision