AI prompts
base on Efficient computing methods developed by Huawei Noah's Ark Lab # Efficient Computing
This repo is a collection of Efficient-Computing methods developed by Huawei Noah's Ark Lab.
- [Data-Efficient-Model-Compression](https://github.com/huawei-noah/Efficient-Computing/tree/master/Data-Efficient-Model-Compression) is a series of compression methods with no or little training data.
- [BinaryNetworks](https://github.com/huawei-noah/Efficient-Computing/tree/master/BinaryNetworks): Binary neural networks including [AdaBin (ECCV22)](https://arxiv.org/abs/2208.08084).
- [Distillation](https://github.com/huawei-noah/Efficient-Computing/tree/master/Distillation): Knowledge distillation methods including [ManifoldKD (NeurIPS22)](https://arxiv.org/pdf/2107.01378.pdf) and [VanillaKD (NeurIPS23)](https://arxiv.org/abs/2305.15781).
- [Pruning](https://github.com/huawei-noah/Efficient-Computing/tree/master/Pruning): Network pruning methods including [GAN-pruning (ICCV19)](https://arxiv.org/abs/1907.10804), [SCOP (NeurIPS20)](https://arxiv.org/abs/2010.10732), [ManiDP (CVPR21)](https://openaccess.thecvf.com/content/CVPR2021/papers/Tang_Manifold_Regularized_Dynamic_Network_Pruning_CVPR_2021_paper.pdf), and [RPG (NeurIPS23)](https://proceedings.neurips.cc/paper_files/paper/2023/hash/040ace837dd270a87055bb10dd7c0392-Abstract-Conference.html).
- [Quantization](https://github.com/huawei-noah/Efficient-Computing/tree/master/Quantization): Model quantization methods including [DynamicQuant (CVPR22)](https://openaccess.thecvf.com/content/CVPR2022/html/Liu_Instance-Aware_Dynamic_Neural_Network_Quantization_CVPR_2022_paper.html).
- [Self-supervised](https://github.com/huawei-noah/Efficient-Computing/tree/master/Self-supervised): self-supervised learning including [FastMIM](https://arxiv.org/pdf/2212.06593.pdf) and [LocalMIM (CVPR23)](https://arxiv.org/abs/2303.05251).
- [TrainingAcceleration](https://github.com/huawei-noah/Efficient-Computing/tree/master/TrainingAcceleration): Accelerating neural network training via [NetworkExpansion (CVPR23)](https://openaccess.thecvf.com/content/CVPR2023/papers/Ding_Network_Expansion_for_Practical_Training_Acceleration_CVPR_2023_paper.pdf).
- [Detection](https://github.com/huawei-noah/Efficient-Computing/tree/master/Detection): Efficient object detectors including [Gold-YOLO (NeurIPS23)](https://arxiv.org/abs/2309.11331).
- [LowLevel](https://github.com/huawei-noah/Efficient-Computing/tree/master/LowLevel): Efficient low level vision models including [IPG (CVPR24)](https://openaccess.thecvf.com/content/CVPR2024/papers/Tian_Image_Processing_GNN_Breaking_Rigidity_in_Super-Resolution_CVPR_2024_paper.pdf).
", Assign "at most 3 tags" to the expected json: {"id":"2441","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"