# Alexander-H-Liu/End-to-end-ASR-Pytorch

<https://repo.masters-masters.com/en/repos/Alexander-H-Liu/End-to-end-ASR-Pytorch>

[Home](https://repo.masters-masters.com/en) › [Alexander-H-Liu](https://repo.masters-masters.com/en/owners/Alexander-H-Liu) › [End-to-end-ASR-Pytorch](https://repo.masters-masters.com/en/repos/Alexander-H-Liu/End-to-end-ASR-Pytorch)

Alexander-H-Liu/End-to-end-ASR-Pytorch has 1,207 stars on GitHub. Its RepoMasters card: Beta tier. This is an open source project (formerly named Listen…

| Field | Value |
| --- | --- |
| Owner | [Alexander-H-Liu](https://repo.masters-masters.com/en/owners/Alexander-H-Liu) |
| Stars | 1,207 |
| Forks | 314 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Alexander-H-Liu/End-to-end-ASR-Pytorch](https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch) |

## Repository

This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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