BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
☆42Jan 12, 2021Updated 5 years ago
Alternatives and similar repositories for BSQ
Users that are interested in BSQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆42Dec 15, 2022Updated 3 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆462May 15, 2023Updated 2 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
- Neural Network Quantization With Fractional Bit-widths☆11Feb 19, 2021Updated 5 years ago
- Codes for our paper "Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment" [NeurIPS'19 EMC2 workshop]…☆10Oct 12, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆25Dec 11, 2021Updated 4 years ago
- EQ-Net [ICCV 2023]☆31Aug 15, 2023Updated 2 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆60Jul 27, 2020Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 4 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆298Aug 1, 2021Updated 4 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆138Nov 19, 2020Updated 5 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆129Jan 2, 2020Updated 6 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- ☆24Apr 20, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆43Oct 30, 2019Updated 6 years ago
- AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.☆13Nov 8, 2021Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆36Jun 29, 2023Updated 2 years ago
- PyTorch code for full quantization of DNN using BCGD☆14Jul 24, 2019Updated 6 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆409Feb 26, 2021Updated 5 years ago
- Implementation of a Quantized Transformer Model☆20Mar 20, 2019Updated 7 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Nov 15, 2020Updated 5 years ago
- Artifact for IPDPS'21: DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.☆13Apr 6, 2021Updated 5 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆265Nov 11, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆14Oct 24, 2022Updated 3 years ago
- A bit-level sparsity-awared multiply-accumulate process element.☆19Jul 9, 2024Updated last year
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆313May 8, 2024Updated last year
- BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.☆58Feb 7, 2023Updated 3 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Mar 24, 2023Updated 3 years ago
- ☆28Oct 21, 2020Updated 5 years ago
- ☆49Jul 28, 2020Updated 5 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆286Dec 11, 2024Updated last year
- [ASP-DAC 2025] "NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks" Official Implementation☆19Mar 6, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- HLS project modeling various sparse accelerators.☆12Jan 11, 2022Updated 4 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆47Jun 29, 2022Updated 3 years ago
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆16Feb 13, 2022Updated 4 years ago
- Fast Emulation of Approximate DNN Accelerators in PyTorch