End-to-end memory modules for deep learning developers, written in Ivy.
Project description
What is Ivy Memory?
Ivy memory provides differentiable memory modules, including learnt modules such as Neural Turing Machines (NTM), but also parameter-free modules such as End-to-End Egospheric Spatial Memory (ESM). Ivy currently supports Jax, TensorFlow, PyTorch, MXNet and Numpy. Check out the docs for more info!
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ivy-memory-1.1.4.tar.gz
(16.8 kB
view hashes)
Built Distribution
ivy_memory-1.1.4-py3-none-any.whl
(17.9 kB
view hashes)
Close
Hashes for ivy_memory-1.1.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 825e3c6725202bdaa42353131bf36c9553444b687be9932ed2fb51838ca72626 |
|
MD5 | dd75ed7d3abf9295c55174c69e375ef6 |
|
BLAKE2b-256 | d6c369db1bfce39f9755d0ee5e4b33a28f51aafead064ecfb3ec5796828f80cd |