adam-dziedzic / winogradLinks
Implementation of the Winograd algorithm.
☆24Updated 6 years ago
Alternatives and similar repositories for winograd
Users that are interested in winograd are comparing it to the libraries listed below
Sorting:
- ☆48Updated 5 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆99Updated 4 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch☆34Updated 3 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Updated 3 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- ☆43Updated last year
- Binarize convolutional neural networks using pytorch☆147Updated 3 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- A implement of run-length encoding for Pytorch tensor using CUDA☆14Updated 4 years ago
- ☆57Updated 4 years ago
- A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…☆26Updated 2 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Updated 2 years ago
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆13Updated 5 years ago
- Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules☆43Updated 3 years ago
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆26Updated 2 years ago
- This is an implementation of YOLO using LSQ network quantization method.☆23Updated 3 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆32Updated last year
- [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework☆14Updated 4 years ago
- Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," Interna…☆17Updated 4 years ago
- ☆17Updated 2 years ago
- Reference implementations of popular Binarized Neural Networks☆108Updated 2 weeks ago
- ☆44Updated 4 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆58Updated 6 years ago