Name: Matin Raayai
Type: User
Company: Northeastern University
Bio: PhD Student, Computer Engineering
High Performance Computing, Computer Vision, Machine Learning
Location: Cambridge, MA
Blog: linkedin.com/in/matin-raayai-ardakani/
Matin Raayai's Projects
AMD GPU (ROCm) programming in Julia
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Deep-Learning-Based Components Identification for Raman Spectroscopy
mcx denosing using neural nets
Pytorch Tensor Extensions used in Rhoana Pipeline
High-performance automatic differentiation of LLVM and MLIR.
Class project for EECE5645 Parallel Data Processing at Northeastern University
GPU-ANLM
Northeastern EECE5640 Final Project
IR to RGB video translation
Heterogeneous programming in Julia
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
My profile Description
Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator
Code for "A Framework for Denoising MonteCarlo Photon Transport Simulations Using Deep Learning", published in Jornal of Biomedical Optics
Image Denoising for MCX
🌊 Julia software for fast, friendly, flexible, data-driven, ocean-flavored fluid dynamics on CPUs and GPUs
Distributed Julia arrays using the MPI protocol
Fast Fourier transforms of MPI-distributed Julia arrays
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
C++ Implementation of PyTorch Tutorial for Everyone
A clean and readable Pytorch implementation of CycleGAN
A collection of Pytorch Deep Learning Models I've come across