TanayNarshana / DFPC-PruningLinks
[ICLR 2023] PyTorch code for DFPC: Data flow driven pruning of coupled channels without data.
☆14Updated 2 years ago
Alternatives and similar repositories for DFPC-Pruning
Users that are interested in DFPC-Pruning are comparing it to the libraries listed below
Sorting:
- [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization☆28Updated last year
- [NeurIPS 2024] Search for Efficient LLMs☆15Updated 9 months ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆33Updated 2 years ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆34Updated last year
- [ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective☆25Updated last year
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…