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GitHub / neuralmagic / sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neuralmagic%2Fsparseml
Stars: 1,976
Forks: 140
Open Issues: 59
License: apache-2.0
Language: Python
Repo Size: 260 MB
Dependencies:
168
Created: over 3 years ago
Updated: 15 days ago
Last pushed: 16 days ago
Last synced: 16 days ago
Commit Stats
Commits: 1283
Authors: 47
Mean commits per author: 27.3
Development Distribution Score: 0.807
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/neuralmagic/sparseml
Topics: automl, computer-vision-algorithms, deep-learning-algorithms, deep-learning-library, deep-learning-models, image-classification, keras, nlp, object-detection, onnx, pruning, pruning-algorithms, pytorch, smaller-models, sparsification, sparsification-recipes, sparsity, tensorflow, transfer-learning
Files
Dependencies
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- sparseml ==0.4.0
- sparsezoo ==0.4.0
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- elasticsearch *
- faiss *
- requests *
- sparseml *
- streamlit *
- torch *
- tqdm *
- transformers *
- actions/checkout v2 composite
- actions/setup-python v4 composite
- actions/checkout v2 composite
- actions/setup-python v4 composite
- actions/checkout v2 composite
- actions/setup-python v4 composite
- actions/checkout v2 composite
- actions/setup-python v4 composite
- base latest build
- cuda-$CUDA_VERSION latest build
- nvidia/cuda ${CUDA_VERSION}-devel-ubuntu18.04 build