submission2019 / cnn-quantizationLinks
Quantization of Convolutional Neural networks.
☆247Updated last year
Alternatives and similar repositories for cnn-quantization
Users that are interested in cnn-quantization are comparing it to the libraries listed below
Sorting:
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆398Updated 4 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 11 months ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- DNN quantization with outlier channel splitting (ICML'19)☆113Updated 5 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆451Updated 2 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Updated 4 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 4 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 4 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆285Updated 4 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆180Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆193Updated 6 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆138Updated 4 years ago
- ☆49Updated 3 years ago
- ☆214Updated 6 years ago
- ☆57Updated 4 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆130Updated 5 years ago
- alibabacloud-quantization-networks☆122Updated 6 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆60Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆259Updated 4 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices