Neural Network Quantization With Fractional Bit-widths
☆11Feb 19, 2021Updated 5 years ago
Alternatives and similar repositories for FracBits
Users that are interested in FracBits are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- BitSplit Post-trining Quantization☆50Dec 20, 2021Updated 4 years ago
- ☆21Feb 11, 2022Updated 4 years ago
- ☆13Jun 16, 2024Updated last year
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- Code for paper "Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach"☆18Jul 9, 2020Updated 5 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆42Jan 12, 2021Updated 5 years ago
- ☆26Mar 1, 2024Updated 2 years ago
- ☆13Oct 26, 2023Updated 2 years ago
- [SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search☆13Nov 3, 2021Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆93May 5, 2022Updated 3 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆138Apr 28, 2022Updated 3 years ago
- Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters☆12Feb 24, 2022Updated 4 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 5 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆129Jul 11, 2023Updated 2 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27May 2, 2021Updated 4 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆403Feb 26, 2021Updated 5 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Jan 3, 2022Updated 4 years ago
- An OpenCL-Based FPGA Accelerator for Compressed YOLOv2☆39May 27, 2021Updated 4 years ago
- Qualifying Exam Preparing☆17May 7, 2025Updated 10 months ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆128Jan 2, 2020Updated 6 years ago
- [WACV2022] Official Code for the "DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks"☆27Feb 19, 2024Updated 2 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆48Nov 1, 2024Updated last year
- ☆15Oct 26, 2022Updated 3 years ago
- SAMO: Streaming Architecture Mapping Optimisation☆34Oct 4, 2023Updated 2 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15May 18, 2022Updated 3 years ago
- FPGA acceleration of arbitrary precision floating point computations.☆40May 17, 2022Updated 3 years ago
- Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization☆15Sep 13, 2022Updated 3 years ago
- ☆11Feb 24, 2025Updated last year
- ☆28Oct 21, 2020Updated 5 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Nov 19, 2020Updated 5 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆23Feb 17, 2020Updated 6 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated 2 years ago
- ☆81Jul 21, 2022Updated 3 years ago
- The official implementation of "NAS-BNN: Neural Architecture Search for Binary Neural Networks"☆13Aug 30, 2024Updated last year
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Jun 29, 2023Updated 2 years ago
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆30Jul 23, 2021Updated 4 years ago
- Design and Analysis of Algorithms - 1 (from Stanford University)☆19Nov 6, 2018Updated 7 years ago
- [CVPR 2022] Learnable Lookup Table for Neural Network Quantization☆43Oct 6, 2022Updated 3 years ago
- ☆32Mar 31, 2025Updated 11 months ago