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Search results for gpu automatic differentiation

automatic-differentiation x

13 search results found

Deep Learning From Scratch 3 ⭐ 426

『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)

Jaxfluids ⭐ 203

Differentiable Fluid Dynamics Package

Omeinsum.jl ⭐ 152

One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD

Torchquad ⭐ 142

Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX

Jax_cosmo ⭐ 138

A differentiable cosmology library in JAX

Freetensor ⭐ 106

A language and compiler for irregular tensor programs.

Deep.Net machine learning framework for F#

Cmblensing.jl ⭐ 50

The automatically differentiable and GPU-compatible toolkit for CMB analysis.

A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.

Adseismic.jl ⭐ 47

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Tinyflow ⭐ 42

A simple deep learning framework that supports automatic differentiation and GPU acceleration.

Qualia2.0 ⭐ 41

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Dali Cython ⭐ 9

🍭 Dali in Python

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