This release is a pre-release and may not be stable for production use.
Animius is an open source software library for creating deep-learning-powered virtual assistants. It provides an intuitive workflow that extracts data from existing media (such as anime and TV shows) and trains on them to provide a personalized AI. The flexible architecture enables you to add custom functionality to your virtual assistant.
Animius also ships with a high-level API animius.Console that allows users without programming
experience to use Animius.
Installation
Install the current release from PyPi:
pip install animius
Then, install Tensorflow (recommended version 1.12). We recommend using the GPU package (tensorlfow-gpu)
if you are going to train your own virtual assistant. Read more on Tensorflow installation here.
See Installing Animius for detailed instructions and Docker installation guide.
Getting Started
Check out our quick start guide. (WIP)
For more information
- Animius Website
- Animius Tutorials
- Animius Documentation
- Animius Blog
License
Metadata
Release files for animius 1.0.0a1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| animius-1.0.0a1.tar.gz | 40.1 kB | Without provenance | Details for animius-1.0.0a1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| animius-1.0.0a1-py3-none-any.whl | Python 3 | none | any | Details for animius-1.0.0a1-py3-none-any.whl |
Total release size: 89.2 kB
Release files / animius-1.0.0a1.tar.gz
| Download URL | animius-1.0.0a1.tar.gz |
|---|---|
| Size | 40.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / animius-1.0.0a1-py3-none-any.whl
| Download URL | animius-1.0.0a1-py3-none-any.whl |
|---|---|
| Size | 49.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
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Security for animius 1.0.0a1
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