Starred repositories
A library for X-ray matter interaction cross sections for X-ray fluorescence applications
Advanced course in Computational Physics, see texbook at http://compphysics.github.io/ComputationalPhysics2/doc/LectureNotes/_build/html/ with an emphasis on computational quantum mechanics, machin…
Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods and more.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.
A simple implementation of esrgan, which uses the pytorch framework.
Open3D: A Modern Library for 3D Data Processing
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Implementation of Graph Convolutional Networks in TensorFlow
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
A PyTorch Library for Accelerating 3D Deep Learning Research
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Productive, portable, and performant GPU programming in Python.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
The python implementation of the Stochastic Self-Consistent Harmonic Approximation (SSCHA).
My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.