| Name | Version | Summary | date |
| agjax |
0.3.7 |
A jax wrapper for autograd-differentiable functions. |
2025-10-20 18:44:55 |
| clumsygrad |
0.2.0 |
A minimal python library for automatic differentiation, built on top of NumPy. |
2025-07-12 18:57:35 |
| synapx |
0.1.0a0 |
A deep learning library with an autograd engine and core operations implemented in C++, featuring a Torch-like API. |
2025-01-06 00:02:25 |
| cortex-tensor |
0.0.0 |
A Deep learning library with CPU and GPU support |
2024-12-27 02:00:06 |
| neuralforge |
0.0.15 |
An educational framework similar to PyTorch, built to be interpretable and easy to implement. |
2024-03-27 21:17:19 |
| delgrada |
0.1.2 |
Lightweight, minimal tensor-/scalar- based autograd engine. |
2024-02-12 09:02:06 |
| tensorgrad |
0.0.4 |
Python package for working with math with ease |
2023-11-05 08:20:44 |
| torch-sparse |
0.6.18 |
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations |
2023-10-06 08:51:55 |
| torch-sparse-carate |
0.6.17 |
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations |
2023-03-25 20:20:10 |
| autograd-gamma |
0.5.0 |
Autograd compatible approximations to the gamma family of functions |
2020-10-15 16:51:06 |