PySpect

Home

Invoices

search

top

Package search

sparseml-nightly

Summary: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Author: Neuralmagic, Inc.
Homepage: https://github.com/neuralmagic/sparseml
Source: https://github.com/neuralmagic/sparseml
Repo profile
Number of releases: 81
First release: 1.4.0.20230105 on 2023-01-05T19:37:54
Latest release: 1.8.0.20240630 on 2024-06-30T20:38:38

Dependencies of sparseml-nightly (68).
Dependency	Optional
click	false
GPUtil	false
matplotlib	false
merge-args	false
numpy	false
onnx	false
packaging	false
pandas	false
protobuf	false
psutil	false
pydantic	false
pyyaml	false
requests	false
scikit-learn	false
scipy	false
sparsezoo-nightly	false
toposort	false
tqdm	false
accelerate	true
beautifulsoup4	true
black	true
compressed-tensors-nightly	true
datasets	true
deepsparse-ent	true
deepsparse-nightly	true
docutils	true
dvc	true
einops	true
evaluate	true
flake8	true
gputils	true
ipywidgets	true
isort	true
jupyter	true
keras2onnx	true
m2r2	true
mistune	true
myst-parser	true
nm-yolov5-nightly	true
onnxruntime	true
open-clip-torch	true
opencv-python	true
openpifpaf	true
parameterized	true
pytest	true
pytest-mock	true
pytest-rerunfailures	true
rinohtype	true
safetensors	true
sentencepiece	true
seqeval	true
sphinx	true
sphinx-copybutton	true
sphinx-markdown-tables	true
sphinx-multiversion	true
sphinx-pydantic	true
sphinx-rtd-theme	true
tensorboard	true
tensorboardX	true
tensorflow	true
tensorflow-gpu	true
tf2onnx	true
torch	true
torchaudio	true
torchvision	true
transformers	true
ultralytics	true
wheel	true