danyalrehman

18336

18.336 - Fast Methods for Partial Differential and Integral Equations

18337

18.337 - Parallel Computing and Scientific Machine Learning

18S096SciML

18.S096 - Applications of Scientific Machine Learning

Generative_Antibiotic_Discovery

Java-Compiler

Java Compiler, with functional lexical analyzer and an extended parser; preliminary error and exception handling

MATLAB-Digital_Signal_Processing

A series of MATLAB scripts for my personal understanding and implementation of Digital Signal Processing algorithms

MATLAB-Evaporative_Heat_Transfer

Pot-in-pot and pot-in-dish evaporative coolers for passive refrigeration. Project in collaboration with the Massachusetts Institute of Technology (MIT) D-Lab.

Python-Autonomous_Vehicle_Simulations

Python code that corresponds with MORSE and Blender in order to simulate rovers on other planetary surfaces.

Python-QRCode_Reader

QRCode Reader application in Python

SSLForPDEs

Code for Lie Symmetries SSL paper

danyalrehman/MATLAB-Evaporative_Heat_Transfer

Pot-in-pot and pot-in-dish evaporative coolers for passive refrigeration. Project in collaboration with the Massachusetts Institute of Technology (MIT) D-Lab.

danyalrehman/PyTorch-GNNs_for_MOFs

Graph neural networks (GNNs) for Metal Organic Framework (MOF) design and isotherm prediction

danyalrehman/Generative_Antibiotic_Discovery

danyalrehman/SSLForPDEs

Code for Lie Symmetries SSL paper

danyalrehman/awesome-ai-residency

List of AI Residency Programs

danyalrehman/danyalrehman.github.io

danyalrehman/Data-Science-Cheatsheet

danyalrehman/DiffEqDocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

danyalrehman/dplm

danyalrehman/e3_diffusion_for_molecules

danyalrehman/e3nn-jax

jax library for E3 Equivariant Neural Networks

danyalrehman/FastGaussQuadrature.jl

Julia package for Gaussian quadrature

danyalrehman/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

danyalrehman/Lux.jl

Explicitly Parameterized Neural Networks in Julia

danyalrehman/Manopt.jl

🏔️Manopt. jl – Optimization on Manifolds in Julia

danyalrehman/masked_autoencoder

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

danyalrehman/ModelOrderReduction.jl

danyalrehman/modulus

A PyTorch based deep-learning toolkit for developing DL models for physical systems

danyalrehman/NATWATER-22-0394-Data-and-Codes

danyalrehman/NeuralOperators.jl

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

danyalrehman/neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

danyalrehman/PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

danyalrehman/ProbNumDiffEq.jl

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

danyalrehman/pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

danyalrehman/Python-CSES_Problem_Sets

danyalrehman/PyTorch-chemprop

Message Passing Neural Networks for Molecule Property Prediction

danyalrehman/SciMLDocs

danyalrehman/srbench

A living benchmark framework for symbolic regression

danyalrehman/sts-jax

Structural Time Series in JAX

danyalrehman/vicreg

VICReg official code base