leimao / PyTorch-Quantization-Aware-TrainingLinks
PyTorch Quantization Aware Training Example
☆144Updated last year
Alternatives and similar repositories for PyTorch-Quantization-Aware-Training
Users that are interested in PyTorch-Quantization-Aware-Training are comparing it to the libraries listed below
Sorting:
- Inference of quantization aware trained networks using TensorRT☆83Updated 2 years ago
- FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch☆36Updated 3 years ago
- PyTorch Static Quantization Example☆38Updated 4 years ago
- Offline Quantization Tools for Deploy.☆141Updated last year
- Count number of parameters / MACs / FLOPS for ONNX models.☆94Updated last year
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Updated 2 years ago
- quantize aware training package for NCNN on pytorch☆69Updated 4 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆32Updated 5 years ago
- Batch Normalization Auto-fusion for PyTorch☆32Updated 5 years ago
- Personal Pytorch toy script.☆67Updated 3 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆56Updated 6 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 4 years ago
- ☆207Updated 4 years ago
- A simple network quantization demo using pytorch from scratch.☆539Updated 2 years ago
- A parser, editor and profiler tool for ONNX models.☆465Updated last week
- Quantize,Pytorch,Vgg16,MobileNet☆43Updated 4 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆94Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆285Updated 4 years ago
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆50Updated 3 years ago
- A code generator from ONNX to PyTorch code☆141Updated 2 years ago
- model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular a…☆170Updated 5 years ago
- ONNX2Pytorch☆165Updated 4 years ago
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆404Updated 2 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆280Updated 11 months ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆451Updated 2 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆353Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- ☆48Updated 5 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆35Updated 3 years ago