LKJacky / Differentiable-Model-Scaling
This is the official repo for "Differentiable Model Scaling using Differentiable Topk"
☆10Updated 11 months ago
Alternatives and similar repositories for Differentiable-Model-Scaling:
Users that are interested in Differentiable-Model-Scaling are comparing it to the libraries listed below
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Updated 3 years ago
- ☆24Updated 3 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆30Updated 8 months ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆44Updated 2 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆24Updated 4 years ago
- ☆17Updated 3 years ago
- Code for RepNAS☆13Updated 3 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23☆22Updated 2 years ago
- [NeurIPS 2024] Search for Efficient LLMs☆13Updated 3 months ago
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆25Updated last year
- [CVPR '23] PA&DA: Jointly Sampling PAth and DAta for Consistent NAS☆36Updated 2 years ago
- ☆26Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- Official code of "NAS acceleration via proxy data", IJCAI21☆10Updated 2 years ago
- ☆60Updated 9 months ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆48Updated 2 years ago
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆74Updated last year
- FOX-NAS: Fast, On-device and Explainable NeuralArchitecture Search☆10Updated 3 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated last year
- https://hyperbox-doc.readthedocs.io/en/latest/☆25Updated last year
- ☆16Updated 2 years ago
- ☆13Updated 10 months ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Updated 2 years ago
- official implementation of β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search (CVPR22 oral).☆85Updated 3 years ago
- An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…☆10Updated 5 years ago
- The official project website of "NORM: Knowledge Distillation via N-to-One Representation Matching" (The paper of NORM is published in IC…☆20Updated last year
- ☆11Updated 2 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆69Updated 3 years ago
- Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV 2022.☆32Updated 2 years ago