google-research/rigl
End-to-end training of sparse deep neural networks with little-to-no performance loss.
335 stars. No commits in the last 6 months.
Stars
335
Forks
48
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 26, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/google-research/rigl"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Xilinx/brevitas
Brevitas: neural network quantization in PyTorch
open-mmlab/mmengine
OpenMMLab Foundational Library for Training Deep Learning Models
fastmachinelearning/qonnx
QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
google/qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
tensorflow/model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization...