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The Wayback Machine - https://web.archive.org/web/20200820033107/https://github.com/topics/efficient-model
Here are
18 public repositories
matching this topic...
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Updated
May 8, 2020
Python
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Updated
Jul 3, 2020
Python
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Updated
Aug 3, 2020
Python
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Updated
Oct 25, 2019
Python
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Updated
Jul 1, 2020
Python
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Updated
Oct 25, 2019
Python
[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Updated
Jul 2, 2020
Python
[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions
Updated
Apr 30, 2020
Python
[LPIRC 2019] First place in the Visual Wake Words challenge (TF-lite track)
Updated
Mar 3, 2020
Python
Any-Precision Deep Neural Networks
Updated
May 2, 2020
Python
Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights.
Updated
Feb 22, 2020
Python
[JMLR 2020] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
Updated
Aug 19, 2020
Jupyter Notebook
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Updated
Nov 5, 2019
Python
Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.
Updated
Mar 24, 2020
Python
MicroNet Challenge hosted at NeurIPs 2019.
Updated
Apr 27, 2020
Python
Extremely light-weight MixNet with Top-1 75.7% and 2.5M params
Updated
Oct 3, 2019
Python
MSUNet is an efficient model that participates in the MicroNet Challenge hosted at NeurIPS 2019.
Updated
Oct 13, 2019
Python
Exploring Variational Deep Q Networks. A study undertaken for the University of Cambridge's R244 Computer Science Masters Course. Inspired by
https://arxiv.org/abs/1711.11225/ .
Updated
Jan 27, 2020
Python
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