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@ProbabilisticNumerics @VectorInstitute
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Universal Tensor Operations in Einstein-Inspired Notation for Python.
A little Python script to collect LaTeX sources for upload to the arXiv.
Implementation of Forward Laplacian algorithm in JAX
Python 3.8+ toolbox for submitting jobs to Slurm
Cross-platform backup tool for Windows, macOS & Linux with fast, incremental backups, client-side end-to-end encryption, compression and data deduplication. CLI and GUI included.
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
A list of awesome compiler projects and papers for tensor computation and deep learning.
Import an ICS file into org to include events in your org agenda
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.
Hyper optimized contraction trees for large tensor networks and einsums
Optimization trajectories in the Tuebingen landscape.
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
PyTorch implementation of the Hessian-free optimizer
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
Outliner for taking notes and managing to-do lists
functorch is JAX-like composable function transforms for PyTorch.
A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.