# dcmocanu/sparse-evolutionary-artificial-neural-networks

<https://repo.masters-masters.com/en/repos/dcmocanu/sparse-evolutionary-artificial-neural-networks>

[Home](https://repo.masters-masters.com/en) › [dcmocanu](https://repo.masters-masters.com/en/owners/dcmocanu) › [sparse-evolutionary-artificial-neural-networks](https://repo.masters-masters.com/en/repos/dcmocanu/sparse-evolutionary-artificial-neural-networks)

dcmocanu/sparse-evolutionary-artificial-neural-networks has 264 stars on GitHub. Its RepoMasters card: Alpha tier. Always sparse. Never dense. But never say…

| Field | Value |
| --- | --- |
| Owner | [dcmocanu](https://repo.masters-masters.com/en/owners/dcmocanu) |
| Stars | 264 |
| Forks | 64 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | artificial-neural-networks, sparse-neural-networks, restricted-boltzmann-machine, multi-layer-perceptron, deep-learning, deep-neural-networks, neuroevolution, complex-networks, evolutionary-algorithms, randomization |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [dcmocanu/sparse-evolutionary-artificial-neural-networks](https://github.com/dcmocanu/sparse-evolutionary-artificial-neural-networks) |

## Repository

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, repr…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.