- ETH Zurich
- https://a1ex.dev
Stars
Easily and securely send things from one computer to another 🐊 📦
A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input
🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks
MOBiceps is a collection of python functions for mass spectrometry and the working arm of MOAgent.
Hugo Shell theme : Terminal-like theme with selectable color schemes.
😸 Soothing pastel theme for the high-spirited!
NeoVim dark colorscheme inspired by the colors of the famous painting by Katsushika Hokusai.
Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
CUDA accelerated rasterization of gaussian splatting
Hardware accelerated, batchable and differentiable optimizers in JAX.
JAX - A curated list of resources https://github.com/google/jax
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estima…
A differentiable cosmology library in JAX
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
A simple, fast and user-friendly alternative to 'find'
[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images
[BMVC2022] Code for paper "Tensorizing 4D Visual Data Along Temporal Dimension"
[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
[CVPR 2022] Learning Graph Regularisation for Guided Super-Resolution
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods