Stars
Cross-species modeling of plant genomes
deep learning-inspired explainable sequence model for transcription initiation
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
Source code of "On the influence of over-parameterization in manifold based surrogates and deep neural operators".
Source code of "Manifold learning for coarse-graining atomistic simulations: Application to amorphous solids".
Code necessary to reproduce experiments in "FloraBERT: cross-species transfer learning with attention-based neural networks for gene expression prediction"
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
Visualizer for neural network, deep learning and machine learning models
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The source code for "Deep transfer learning for conditional shift in regression"
Investigating PINNs
JHU Dissertation LaTeX mwe
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
Collection of LaTeX resources and examples.
Learning in infinite dimension with neural operators.
A flexible framework for solving PDEs with modern spectral methods.
A tensorflow implementation of Facial Landmark Detection by Deep Multi-task Learning
Matlab implementation of facial landmark detection by deep multi-task learning
This is an implementation of Task Constrained Convolution Neural Network (TCDCN) which detects 5 landmarks (Both eyes, nose and both ends of lips) on a facial picture. Our model take in a list of d…
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)