deJQK / AdaBitsLinks
☆41Updated 3 years ago
Alternatives and similar repositories for AdaBits
Users that are interested in AdaBits are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆60Updated 5 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆42Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Updated 5 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆62Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 4 years ago
- BitSplit Post-trining Quantization☆50Updated 4 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 6 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Updated 5 years ago
- ☆78Updated 3 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆113Updated 5 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆113Updated 2 years ago
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆14Updated 5 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93Updated 3 years ago
- Reproducing Quantization paper PACT☆64Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated 2 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆94Updated 2 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆129Updated 6 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- Neural Network Quantization With Fractional Bit-widths☆11Updated 4 years ago
- A pytorch implementation of dorefa quantization☆113Updated 6 years ago
- ☆49Updated 3 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Updated 4 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆281Updated last year
- ☆48Updated 5 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆285Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆279Updated 2 years ago