Pytorch_Dart is a dart wrapper for Libtorch,striving to provide an experience identical to PyTorch. You can use it as an alternative to Numpy in your Dart/Flutter projects.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Flatten a three-dimensional nested array.

Flatten an n-dimensional nested array according to a callback function.

Biblioteca para manipulação de modelos de Redes Neurais

On-device AI across mobile, embedded and edge for PyTorch

Flatten a four-dimensional nested array.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Composable Tensor Network library in Julia

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.

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

Open deep learning compiler stack for cpu, gpu and specialized accelerators

NumPy & SciPy for GPU

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Multi-dimensional arrays (tensors) and numerical definitions for Elixir

simple autodiff library

A deep learning framework in mojo🔥

Tensor Toolbox for Modern Fortran

A Machine Learning framework from scratch in Pure Mojo 🔥

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.