Name: M Arshad Zahangir Chowdhury
Type: User
Company: Rensselaer Polytechnic Institute,
Bio: Hi! I am Arshad and I use experiments, simulations and learning methods to solve problems.
Location: Troy, New York, United States
M Arshad Zahangir Chowdhury's Projects
Learning How to make docs
Sandia National Laboratories' Albany multiphysics code
Pytorch Implementation of AlexNet
Solutions to problems that I solved on AlgoExpert.
All AlgoExpert questions implemented in golang.
A collection of solutions for all problem statements on the AlgoExpert Coding Interview platform.
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
scripts for april beamtime
My class notes for AUST students 2014-2016
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Bayes Net Toolbox for Matlab
Faster X-ray Bragg Peak Analysis with Deep Learning
A miniapp that demonstrates the hybridized use of a C++ and Python for compute and ML respectively.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Official Matplotlib cheat sheets
check GPU support
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).
Additional exercises and data for EE364a. No solutions; for public consumption.
PyTorch package for the discrete VAE used for DALL·E.
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
Deep Residual Learning for Image Recognition
DeepFaceLab is the leading software for creating deepfakes.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
LaTeX files for the Deep Learning book notation
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.