Make Us Rich
Deep Learning applied to cryptocurrency forecasting. This project is a tool to help people to train, serve and use cryptocurrencies forecasting models. This project was build by @ChainYo to help people building their own MLOps projects.
For more details on how to use this project, please refer to documentation. (🚧 Still in development)
You can inspect the training pipeline with the Kedro Viz tool, available here
Here is the simplified project architecture:
Installation
pip install make-us-rich
Support
If you encounter any problems using this project, please open an issue here.
If you find this project usefull, please consider supporting by sharing the repo and giving a ⭐!
1 maintainer
Metadata
1 maintainer
Release files for make-us-rich 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| make-us-rich-0.1.1.tar.gz | 28.3 kB | Without provenance | Details for make-us-rich-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| make_us_rich-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for make_us_rich-0.1.1-py3-none-any.whl |
Total release size: 69.2 kB
Release files / make-us-rich-0.1.1.tar.gz
| Download URL | make-us-rich-0.1.1.tar.gz |
|---|---|
| Size | 28.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.10 CPython/3.8.10 Linux/5.11.0-27-generic
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Release files / make_us_rich-0.1.1-py3-none-any.whl
| Download URL | make_us_rich-0.1.1-py3-none-any.whl |
|---|---|
| Size | 40.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.10 CPython/3.8.10 Linux/5.11.0-27-generic
|
Security for make-us-rich 0.1.1
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