☆342Feb 12, 2026Updated 3 weeks ago
Alternatives and similar repositories for aimet-model-zoo
Users that are interested in aimet-model-zoo are comparing it to the libraries listed below
Sorting:
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,565Updated this week
- QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime …☆138Updated this week
- PyTorch implementation of paper "Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices"☆61Aug 23, 2022Updated 3 years ago
- Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) an…☆936Feb 25, 2026Updated last week
- Super-Efficient Super Resolution☆100Mar 21, 2022Updated 3 years ago
- Winner solution of mobile AI (CVPRW 2021).☆158May 14, 2022Updated 3 years ago
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,788Mar 28, 2024Updated last year
- Model Quantization Benchmark☆859Apr 20, 2025Updated 10 months ago
- ☆14Oct 12, 2024Updated last year
- Pytorch implementation of BRECQ, ICLR 2021☆290Aug 1, 2021Updated 4 years ago
- Generating RGB photos from RAW image files with PyNET-v2 Mobile☆26Jun 16, 2022Updated 3 years ago
- ☆16Dec 6, 2023Updated 2 years ago
- [AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution☆71Mar 23, 2023Updated 2 years ago
- Offline Quantization Tools for Deploy.☆142Dec 28, 2023Updated 2 years ago
- ☆210Nov 9, 2021Updated 4 years ago
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆872Updated this week
- Residual Local Feature Network for Efficient Image Super-Resolution☆15Jun 9, 2022Updated 3 years ago
- Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution☆123May 9, 2022Updated 3 years ago
- pruning vision models in torch☆17Dec 5, 2025Updated 3 months ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Sep 13, 2022Updated 3 years ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Mar 23, 2023Updated 2 years ago
- CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution☆155Jun 14, 2023Updated 2 years ago
- ☆182Jan 22, 2026Updated last month
- [ECCV2022] Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution☆26Jan 12, 2023Updated 3 years ago
- Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021☆384Nov 15, 2021Updated 4 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆359Apr 11, 2023Updated 2 years ago
- Cascaded Temporal Updating Network for Efficient Video Super-Resolution☆17Mar 4, 2025Updated last year
- snpe tutorial☆10Dec 25, 2023Updated 2 years ago
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆431Updated this week
- ☆169Mar 9, 2023Updated 3 years ago
- This is the open-source version of TinyTS. The code is dirty so far. We may clean the code in the future.☆19Aug 11, 2025Updated 6 months ago
- mnn asr demo.☆25Mar 24, 2025Updated 11 months ago
- Simplify your onnx model☆4,304Feb 26, 2026Updated last week
- [ECCV 2024] SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution☆12Mar 4, 2025Updated last year
- 轻量级文字识别技术创新大赛终榜第5名☆15Jul 15, 2021Updated 4 years ago
- Bolt is a deep learning library with high performance and heterogeneous flexibility.☆957Apr 11, 2025Updated 10 months ago
- Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution☆172Jul 7, 2022Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…☆30Sep 13, 2022Updated 3 years ago
- A tool for parsing, editing, optimizing, and profiling ONNX models.☆480Feb 10, 2026Updated 3 weeks ago