- Tokyo, Japan
-
20:25
(UTC +09:00) - https://orcid.org/0009-0002-3866-7073
- in/riku-sakamoto-719007162
Stars
Data validation using Python type hints
A very fast and expressive template engine.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"
A central repository to keep track of the status of work on and support for free-threaded CPython (see PEP 703), with a focus on the scientific and ML/AI ecosystem
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
The fundamental package for scientific computing with Python.
Tools used to generate the SciPy conference proceedings
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
The Markdown-based note-taking app that doesn't suck.
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A Python library to use infix notation in Python
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)