On-device AI across mobile, embedded and edge for PyTorch
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Updated
Jun 12, 2024 - C++
On-device AI across mobile, embedded and edge for PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Neural Network Creation Library
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
A deep learning framework in mojo🔥
Open deep learning compiler stack for cpu, gpu and specialized accelerators
An animal can do training and inference every day of its existence until the day of its death. A forward pass is all you need.
Read and write Neuroglancer datasets programmatically.
Julia package for tensor contractions and related operations
💪 Muscles power Tensors 💪
⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
Composable Tensor Network library in Julia
Biblioteca para manipulação de modelos de Redes Neurais
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Tensor Network State Packages
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Differentiable Tensors based on NumPy Arrays
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