da2so / Eagleeye_TensorflowLinks
Eagleeye: fast sub-net evaluation for efficient neural network pruning with Tensorflow keras
☆18Updated 4 years ago
Alternatives and similar repositories for Eagleeye_Tensorflow
Users that are interested in Eagleeye_Tensorflow are comparing it to the libraries listed below
Sorting:
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆73Updated 3 years ago
- A visualization and transformation of pytorch model☆30Updated 6 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆77Updated 3 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆83Updated 3 years ago
- code for NASViT☆67Updated 3 years ago
- (CVPR 2021, Oral) Dynamic Slimmable Network☆231Updated 4 years ago
- An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.☆17Updated 5 years ago
- NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tr…☆26Updated 4 years ago
- [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…☆55Updated 2 years ago
- A pytorch implementation of dorefa quantization☆113Updated 6 years ago
- ☆47Updated 6 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆146Updated 4 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆64Updated 3 weeks ago
- PyTorch Implementation of AutoPruner☆23Updated 5 years ago
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆55Updated 2 years ago
- Pytorch ImageNet training codes with various tricks, lr schedulers, distributed training, mixed precision training, DALI dataloader etc.☆18Updated 5 years ago
- PyTorch Static Quantization Example☆41Updated 4 years ago
- AlphaNet Improved Training of Supernet with Alpha-Divergence☆100Updated 4 years ago
- Network Pruning That Matters: A Case Study on Retraining Variants (ICLR 2021)☆17Updated 4 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 6 years ago
- papers about model compression☆166Updated 2 years ago
- PyTorch reimplementation of RegNet (Design Space Design, CVPR2020) on CIFAR10 and ImageNet☆47Updated 5 years ago
- Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)☆43Updated 5 years ago
- Implementation of knapsack pruning☆27Updated 5 years ago
- [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment☆25Updated 3 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆23Updated 2 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV 2022.☆33Updated 3 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Updated 6 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆35Updated 3 years ago