A generic, composable multi-dimensional array library.
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Updated
Jun 1, 2024 - C++
A generic, composable multi-dimensional array library.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Open deep learning compiler stack for cpu, gpu and specialized accelerators
On-device AI across mobile, embedded and edge for PyTorch
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
A neural network library built around an Automatic Differentiation system written from scratch. The main focus of this project is its 'AutoGrad' system. The overall API roughly resembles to that of PyTorch.
deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Tensor-based Multiple Canonical Correlation Analysis
Tensor Train Toolbox
Tunable sorting for responsive robustness and beyond!
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.
A home for the final text of all TVM RFCs.
A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.
TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
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