Some useful Pytorch models, circa 2025

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for nicholasbailey from gravatar.com nicholasbailey

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: Nicholas Bailey
  • Requires: Python >=3.11
Classifiers
Report project as malware

Project description

broccoli

Some useful PyTorch models, circa 2025.

broccoli

Getting started

You can install broccoli with

pip install broccoli-ml

PyTorch is a peer dependency of broccoli, which means

  • You will need to make sure you have PyTorch installed in order to use broccoli
  • PyTorch will not be installed automatically when you install broccoli

We take this approach because PyTorch versioning is environment-specific and we don't know where you will want to use broccoli. If we automatically install PyTorch for you, there's a good chance we would get it wrong!

Therefore, please also make sure you install PyTorch.

Usage examples

...

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for nicholasbailey from gravatar.com nicholasbailey

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: Nicholas Bailey
  • Requires: Python >=3.11
Classifiers

Release history Release notifications | RSS feed

30.1.0

30.0.0

29.3.0

29.2.0

29.1.0

29.0.0

28.0.0

27.1.1

27.1.0

27.0.0

26.2.0

26.1.0

26.0.0

25.0.0

24.0.1

24.0.0

23.1.0

23.0.3

23.0.2

23.0.1

23.0.0

22.1.0

22.0.2

22.0.1

22.0.0

21.0.1

21.0.0

20.1.0

20.0.0

19.7.1

19.7.0

19.6.0

19.5.0

19.4.0

19.3.0

19.1.3

19.1.2

19.1.1

19.1.0

19.0.0

18.4.0

18.3.0

18.2.0

18.1.0

18.0.0

17.3.0

17.2.0

17.1.0

17.0.0

16.1.0

16.0.4

16.0.3

16.0.2

16.0.1

16.0.0

15.12.0

15.10.4

15.10.2

15.10.1

15.10.0

15.9.0

15.8.1

15.8.0

15.7.1

15.7.0

15.6.0

15.5.0

15.4.2

15.4.1

15.4.0

15.3.0

15.2.0

15.1.0

15.0.1

15.0.0

14.0.1

14.0.0

13.0.6

13.0.5

13.0.4

13.0.3

13.0.2

13.0.1

13.0.0

12.3.1

12.3.0

12.2.0

12.1.0

12.0.0

11.0.0

10.2.0

10.1.1

10.1.0

10.0.1

10.0.0

9.7.0

9.6.0

9.5.1

9.5.0

9.4.2

9.4.1

9.4.0

9.3.0

9.2.2

9.2.1

9.2.0

9.1.0

9.0.0

7.0.0

6.0.1

6.0.0

5.2.0

5.1.4

5.1.3

5.1.2

5.1.1

5.1.0

5.0.0

4.0.1

4.0.0

3.3.1

3.3.0

3.2.0

3.1.3

3.1.2

3.1.1

3.1.0

3.0.1

3.0.0

2.0.0

1.3.0

1.2.3

1.2.2

1.2.1

1.2.0

1.1.0

1.0.0

0.40.0

0.39.0

0.38.0

0.37.0

0.36.0

0.35.1

0.35.0

0.34.0

0.33.2

0.33.1

0.33.0

0.32.0

0.31.2

0.31.1

0.31.0

0.30.0

0.29.1

0.29.0

0.28.0

0.27.0

0.26.0

0.25.0

0.24.3

0.24.2

0.24.1

0.24.0

0.23.1

0.23.0

0.22.0

0.21.1

This version

0.21.0

0.20.0

0.19.0

0.18.1

0.18.0

0.17.0

0.16.0

0.15.2

0.15.1

0.15.0

0.14.1

0.14.0

0.13.6

0.13.5

0.13.4

0.13.3

0.13.2

0.13.1

0.13.0

0.12.0

0.11.0

0.10.0

0.9.0

0.8.1

0.8.0

0.7.0

0.6.0

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.0

0.2.0

0.1.41

0.1.40

0.1.39

0.1.38

0.1.37

0.1.36

0.1.35

0.1.34

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.26

0.1.25

0.1.24

0.1.23

0.1.22

0.1.21

0.1.20

0.1.19

0.1.18

0.1.17

0.1.16

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

broccoli_ml-0.21.0.tar.gz (43.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

broccoli_ml-0.21.0-py3-none-any.whl (43.5 MB view details)

Uploaded Python 3

File details

Details for the file broccoli_ml-0.21.0.tar.gz.

File metadata

  • Download URL: broccoli_ml-0.21.0.tar.gz
  • Upload date:
  • Size: 43.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.9.5 Darwin/24.6.0

File hashes

Hashes for broccoli_ml-0.21.0.tar.gz
Algorithm Hash digest
SHA256 df93477372f8dd68e9e99408655177c50d13bbe2666970f902f23d15c0111466
MD5 0012f9629d0c7fa6498e3747e86a5b11
BLAKE2b-256 f7eae2fdfdbed9aba77e259f3753d820410ced1e0ebf1930e316e2afaa74dd3e

See more details on using hashes here.

File details

Details for the file broccoli_ml-0.21.0-py3-none-any.whl.

File metadata

  • Download URL: broccoli_ml-0.21.0-py3-none-any.whl
  • Upload date:
  • Size: 43.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.9.5 Darwin/24.6.0

File hashes

Hashes for broccoli_ml-0.21.0-py3-none-any.whl
Algorithm Hash digest
SHA256 23c99b5a375a636fd21b13f4e9614d9c4963473b6ce34bd03365ace6791e8b3f
MD5 465faf4a98a913cd349447c8644d791a
BLAKE2b-256 074f40cc39c407aa3e3769d0919ba668fb0dd0e8da067a31d34e081f27bdd46d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page