DataHeroes - Build Better ML Models 10x Faster
Project description
DataHeroes is a Python library that solves some of today’s biggest machine learning challenges: reducing the time, effort and resources required to develop and maintain high-quality machine learning models.
DataHeroes uses a unique methodology called Coresets, originating in computational geometry, to reduce the size of the dataset to a small subset that maintains the statistical properties and corner cases of the full dataset, such that solving a problem on the Coreset will yield the same result as solving it on the full dataset (to learn more about Coresets, visit our Introduction to Coresets page).
- Website: https://dataheroes.ai
- Getting started: https://dataheroes.ai/getting-started
- Documentation: https://data-heroes.github.io/dh-library/
- Tutorials: https://dataheroes.ai/tutorials/
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 Distributions
Built Distributions
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 dataheroes_limited-0.17.0.2025.9.30-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: dataheroes_limited-0.17.0.2025.9.30-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 56.5 MB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e229406516bb5d106c1289cf3a94189f6f281867ec27aaf90565c19189719895
|
|
| MD5 |
6f463a8a43640fdd7a08fc95b246aa7d
|
|
| BLAKE2b-256 |
dbb6838fe2bccd98cac5ee8d76dac2dde916153e1b9161120c2577b5f5383449
|
File details
Details for the file dataheroes_limited-0.17.0.2025.9.30-cp311-cp311-macosx_14_0_arm64.whl.
File metadata
- Download URL: dataheroes_limited-0.17.0.2025.9.30-cp311-cp311-macosx_14_0_arm64.whl
- Upload date:
- Size: 9.0 MB
- Tags: CPython 3.11, macOS 14.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.11.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4fcbff79b13a77312b465c3f161db715ee1e92413cab096fbf2ac6395f57d4a3
|
|
| MD5 |
19a5ae634b3d24d5b9d08bbb70090bb9
|
|
| BLAKE2b-256 |
741dfec5d798bd75f92f42acd406c0d34bafedcd5d0451e671de10ab420bf7c5
|
