BradMcDanel / sdgpLinks
☆10Updated 3 years ago
Alternatives and similar repositories for sdgp
Users that are interested in sdgp are comparing it to the libraries listed below
Sorting:
- ☆43Updated last year
- Code for ICML 2021 submission☆34Updated 4 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- A collection of research papers on efficient training of DNNs☆69Updated 3 years ago
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆51Updated 2 years ago
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆29Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 3 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆32Updated last year
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
- ☆76Updated 3 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- ☆240Updated 2 years ago
- [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning☆21Updated 3 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- ☆214Updated 2 years ago
- ☆17Updated 2 years ago
- Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…☆63Updated last year
- Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"☆20Updated 2 years ago
- ☆36Updated 9 months ago
- ☆159Updated 2 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆55Updated 5 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 4 years ago
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆111Updated 2 years ago
- ☆158Updated 2 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆57Updated 2 years ago
- Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation☆27Updated 5 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Updated 2 years ago