Implement Towards Effective Low-bitwidth Convolutional Neural Networks
☆41Sep 17, 2018Updated 7 years ago
Alternatives and similar repositories for QuantizeCNNModel
Users that are interested in QuantizeCNNModel are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"☆20Aug 30, 2021Updated 4 years ago
- ☆45Jan 17, 2020Updated 6 years ago
- PyTorch code for full quantization of DNN using BCGD☆14Jul 24, 2019Updated 6 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Jul 25, 2019Updated 6 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Jan 20, 2019Updated 7 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.
- ☆58Dec 8, 2020Updated 5 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Aug 30, 2022Updated 3 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Jan 22, 2019Updated 7 years ago
- Some recent Quantizing techniques on PyTorch☆72Sep 8, 2019Updated 6 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
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Jul 25, 2024Updated last year
- caffe implementation of single level quantization☆19Dec 15, 2018Updated 7 years ago
- ☆35Mar 4, 2020Updated 6 years ago
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- alibabacloud-quantization-networks☆120Nov 8, 2019Updated 6 years ago
- Test scripts for exploring PyTorch JIT and quantization capability☆11Mar 8, 2021Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆165Mar 8, 2020Updated 6 years ago
- An Tensorflow.keras implementation of Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorizatio…☆10Dec 18, 2019Updated 6 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆114Mar 21, 2020Updated 6 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆183Oct 29, 2020Updated 5 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
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆315May 8, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆300Aug 1, 2021Updated 4 years ago
- Caffe implementation of Optimal-Ternary-Weights-Approximation in "Two-Step Quantization for Low-bit Neural Networks" (CVPR2018).☆15Sep 21, 2018Updated 7 years ago
- Caffe Implementation for Incremental network quantization☆190Jul 29, 2018Updated 7 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆19Nov 22, 2022Updated 3 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Dec 5, 2021Updated 4 years ago
- Reducing the size of convolutional neural networks☆114Nov 28, 2017Updated 8 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆181Mar 14, 2020Updated 6 years ago
- DL quantization for pytorch☆26Mar 30, 2019Updated 7 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.
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆410Feb 26, 2021Updated 5 years ago
- ☆16Jun 18, 2025Updated 11 months ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆130Jan 2, 2020Updated 6 years ago
- PyTorch Implementation of XNOR-Net☆495Feb 27, 2023Updated 3 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Dec 8, 2023Updated 2 years ago
- A face detection base on faster-rcnn.pytorch☆10Feb 9, 2018Updated 8 years ago
- My implementation of RePr training scheme in PyTorch. https://arxiv.org/pdf/1811.07275.pdf☆70Oct 31, 2019Updated 6 years ago