emcastillo

Tizona

Tool for managing HPC workloads

torch-mlir-ltc-backend

Standalone backend compilation for torch-mlir ltc

backport

Create backport PR automatically

chainer

A flexible framework of neural networks for deep learning

chainer-pytorch-migration

Chainer/PyTorch Migration Library

chainer-test

The test scripts for chainer and cupy

cupy

NumPy-like API accelerated with CUDA

cupy-aarch64-wheel

cupy-release-tools

Tools for CuPy Release

emcastillo.github.io

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

loupe

MPI profiler

numpy

The fundamental package for scientific computing with Python.

onnx

Open standard for machine learning interoperability

proxy-apps

Exascale Proxy Applications Project Website

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-pfn-extras

Supplementary components to accelerate research and development in PyTorch

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

sympy

A computer algebra system written in pure Python