PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
☆18Jun 22, 2022Updated 3 years ago
Alternatives and similar repositories for DTQ
Users that are interested in DTQ are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆35Mar 4, 2020Updated 6 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Nov 15, 2020Updated 5 years ago
- Post-training sparsity-aware quantization☆34Feb 26, 2023Updated 3 years ago
- ☆28Oct 21, 2020Updated 5 years ago
- Awesome Quantization Paper lists with Codes☆10Feb 24, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)☆55Jul 23, 2023Updated 2 years ago
- The code for Joint Neural Architecture Search and Quantization☆14Apr 10, 2019Updated 7 years ago
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Jun 19, 2020Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 6 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆36Jun 29, 2023Updated 2 years ago
- alibabacloud-quantization-networks☆120Nov 8, 2019Updated 6 years ago
- A face detection base on faster-rcnn.pytorch☆10Feb 9, 2018Updated 8 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Dec 8, 2023Updated 2 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Nov 16, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆44Nov 25, 2021Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Nov 15, 2020Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Nov 4, 2021Updated 4 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆45Aug 19, 2021Updated 4 years ago
- ☆45Jul 14, 2021Updated 4 years ago
- Proximal Mean-field for Neural Network Quantization☆21Apr 9, 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
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆30Jul 23, 2021Updated 4 years ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆25Mar 29, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Pytorch implementation of BRECQ, ICLR 2021☆299Aug 1, 2021Updated 4 years ago
- pytorch implementation of Deep Supervised Hashing☆10Feb 15, 2023Updated 3 years ago
- This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…☆22Dec 17, 2023Updated 2 years ago
- Unofficial Scalable-Softmax Is Superior for Attention☆20May 30, 2025Updated 11 months ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆27Nov 12, 2020Updated 5 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆14Feb 3, 2025Updated last year
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆138Apr 28, 2022Updated 4 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆29Feb 19, 2021Updated 5 years ago
- Structured Binary Neural Networks for Image Recognition☆18Nov 18, 2021Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆37Aug 5, 2022Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Jun 10, 2021Updated 4 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆61Jul 27, 2020Updated 5 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Oct 7, 2021Updated 4 years ago
- An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.☆96Jul 14, 2023Updated 2 years ago
- [ICML 2022] ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks☆15May 18, 2022Updated 4 years ago
- ☆49Jul 28, 2020Updated 5 years ago