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Projects in Awesome Lists tagged with efficient-model

A curated list of projects in awesome lists tagged with efficient-model .

https://github.com/mit-han-lab/temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

acceleration efficient-model low-latency nvidia-jetson-nano temporal-modeling tsm video-understanding

Last synced: 15 May 2025

https://github.com/mit-han-lab/once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

acceleration automl edge-ai efficient-model nas tinyml

Last synced: 13 May 2025

https://github.com/mit-han-lab/proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

acceleration automl efficient-model hardware-aware on-device-ai specialization

Last synced: 15 May 2025

https://github.com/MIT-HAN-LAB/ProxylessNAS

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

acceleration automl efficient-model hardware-aware on-device-ai specialization

Last synced: 23 Mar 2025

https://github.com/mit-han-lab/ProxylessNAS

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

acceleration automl efficient-model hardware-aware on-device-ai specialization

Last synced: 29 Mar 2025

https://github.com/mit-han-lab/amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

automl automl-for-compression channel-pruning efficient-model model-compression on-device-ai

Last synced: 13 May 2025

https://github.com/mit-han-lab/haq

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

automl efficient-model mixed-precision quantization

Last synced: 13 May 2025

https://github.com/microsoft/nn-Meter

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

deep-learning deep-neural-networks edge-ai edge-computing efficient-model inference latency machine-learning neural-architecture-search onnx-models python pytorch tensorflow-models

Last synced: 20 Nov 2025

https://github.com/microsoft/nn-meter

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

deep-learning deep-neural-networks edge-ai edge-computing efficient-model inference latency machine-learning neural-architecture-search onnx-models python pytorch tensorflow-models

Last synced: 12 Apr 2025

https://github.com/mit-han-lab/hardware-aware-transformers

[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

efficient-model hardware-aware machine-translation natural-language-processing specialization transformer

Last synced: 13 May 2025

https://github.com/mit-han-lab/amc-models

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

automl efficient-model model-compression on-device-ai

Last synced: 13 May 2025

https://github.com/d-li14/hbonet

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2

efficient-model iccv2019 imagenet mobilenetv2 pretrained-models pytorch

Last synced: 01 Sep 2025

https://github.com/shi-labs/any-precision-dnns

Any-Precision Deep Neural Networks (AAAI 2021)

any-precision efficient-model on-demand

Last synced: 13 Apr 2025

https://github.com/mit-han-lab/neurips-micronet

[JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion

efficient-model knowledge-distillation language-modeling natural-language-processing pruning quantization

Last synced: 07 Jul 2025

https://github.com/hvision-nku/offseg

[ICCV 2025] Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment

efficient-model feature-alignment offset-learning semantic-segmentation

Last synced: 07 Nov 2025