Vertez: Statify and Infer
Project description
Vertez is a cutting-edge open-source framework company dedicated to developing powerful and versatile libraries for statistical analysis, machine learning, and deep learning. We empower data scientists, researchers, and developers with a comprehensive suite of tools to drive insights and innovations in diverse domains. At Vertez, we believe in democratizing access to advanced statistical techniques and the latest advancements in artificial intelligence. Our libraries provide an intuitive and flexible platform for statistical modeling, predictive analytics, and complex data-driven decision making. With a focus on simplicity, performance, and scalability, we enable practitioners to efficiently explore, analyze, and infer from their data.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file vertezml-0.0.12.tar.gz.
File metadata
- Download URL: vertezml-0.0.12.tar.gz
- Upload date:
- Size: 7.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5d91de8e16738a2e62ca5318fcef787c9ff1bb919178e2ec90535ffa337ff17c
|
|
| MD5 |
e4112bdbda175d279bf03fc6f2b348e2
|
|
| BLAKE2b-256 |
efe7fef59c587a02c31795a03fb238125544e86e646b4dcf36108a52758faa00
|
File details
Details for the file vertezml-0.0.12-cp311-cp311-win_amd64.whl.
File metadata
- Download URL: vertezml-0.0.12-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 80.6 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c507de6d4b89e866b3ef23114e67ad79509e10eb2ee9f3d2b612a21df0825c05
|
|
| MD5 |
9c42a3b4c26f47a48c64da7a3a5e48f8
|
|
| BLAKE2b-256 |
d2bee55dc1de084327a1bc0f1515ba55f3167282ddf6f4355f3dcb4cd00e6a44
|
