A playbook for systematically maximizing the performance of deep learning models.

source for

High Quality Resources on GPU Programming/Architecture

Scripts for TUS acoustic simulations at BRIC, University of Plymouth

A matplotlib backend that produces plots using only ASCII characters

💫 An open-source multi-purpose N-body code.

C++ header-only library with methods to efficiently encode/decode Morton codes in/from 2D/3D coordinates

Fortran 2008 interface bindings to SDL 2.0

Advanced Python Mastery (course by @dabeaz)

GitHub action to setup Fortran compiler and toolchain

ARCHER2 C++ course

Lecture Slide Issue Tracking

Physical Symbolic Optimization

Nice-looking lightweight console ASCII line charts ╭┈╯ for NodeJS, browsers and terminal, no dependencies

Command line plotting for python

Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering

Your CLI home video recorder 📼

Particle Video Revisited

Neuroclear is a deep-learning-based Python module to train a deep neural network for the task of applying super-resolution to degraded axial resolution in fluorescence microscopy, using a single im…

This repository hosts the code for HDN (associated with the paper https://arxiv.org/pdf/2104.01374.pdf) for pixel and structured noise removal for microscopy and natural image datasets

DivNoising is an unsupervised denoising method to generate diverse denoised samples for any noisy input image. This repository contains the code to reproduce the results reported in the paper https…

Noise2Void - Learning Denoising from Single Noisy Images

This is our implementation of Probabilistic Noise2Void

Fortran Package Manager (fpm)

High dynamic range (HDR) image viewer for graphics people

Publication-ready NN-architecture schematics.

Fortran Standard Library

This is a tool for voxelizing ply mesh with color informations.