#
efficient-neural-networks
Here are
14 public repositories
matching this topic...
Embedded and mobile deep learning research resources
[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
-
Updated
Sep 17, 2020
-
Python
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
-
Updated
May 8, 2021
-
Python
Efficient Graph Neural Networks - a curated list of papers and projects
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
-
Updated
Sep 22, 2020
-
Python
[ICML'21] I-BERT: Integer-only BERT Quantization
-
Updated
May 8, 2021
-
Python
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
-
Updated
Jul 23, 2020
-
Python
[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"
-
Updated
Jul 15, 2021
-
Python
Learned Token Pruning for Transformers
-
Updated
Jul 8, 2021
-
Python
Finding Storage- and Compute-Efficient Convolutional Neural Networks
-
Updated
Jun 8, 2021
-
Python
Q-ASR: Integer-only Zero-shot Quantization for Efficient Speech Recognition
-
Updated
Apr 2, 2021
-
Jupyter Notebook
NeurIPS 2019 MicroNet Challenge
-
Updated
Jun 8, 2021
-
Python
[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
-
Updated
May 4, 2021
-
Python
Approximating a 3DCNN with a 2DCNN
-
Updated
Jul 13, 2020
-
Python
Improve this page
Add a description, image, and links to the
efficient-neural-networks
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
efficient-neural-networks
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.