A-suozhang / awesome-quantization-and-fixed-point-trainingLinks
Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design
☆161Updated 4 years ago
Alternatives and similar repositories for awesome-quantization-and-fixed-point-training
Users that are interested in awesome-quantization-and-fixed-point-training are comparing it to the libraries listed below
Sorting:
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆97Updated 3 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆273Updated 3 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆273Updated 5 months ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆259Updated 3 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆133Updated 4 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 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
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"