ModelTC / MQBenchLinks
Model Quantization Benchmark
☆843Updated 6 months ago
Alternatives and similar repositories for MQBench
Users that are interested in MQBench are comparing it to the libraries listed below
Sorting:
- A simple network quantization demo using pytorch from scratch.☆538Updated 2 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆451Updated 2 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆284Updated 4 years ago
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,753Updated last year
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆405Updated 2 years ago
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆851Updated 2 months ago
- A parser, editor and profiler tool for ONNX models.☆460Updated 2 months ago
- Offline Quantization Tools for Deploy.☆140Updated last year
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆351Updated 2 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆303Updated last year
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Updated 2 years ago
- Everything in Torch Fx☆345Updated last year
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆396Updated 4 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 10 months ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆443Updated last year
- 针对pytorch模型的自动化模型结构分析和修改工具集,包含自动分析模型结构的模型压缩算法库☆254Updated 2 years ago
- Quantization of Convolutional Neural networks.☆243Updated last year
- ☆241Updated 2 years ago
- ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)☆297Updated 2 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.☆359Updated last year
- Summary, Code for Deep Neural Network Quantization☆554Updated 4 months ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 4 years ago
- A model compression and acceleration toolbox based on pytorch.☆331Updated last year
- Post-Training Quantization for Vision transformers.☆228Updated 3 years ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,261Updated 5 months ago
- A nnie quantization aware training tool on pytorch.☆238Updated 4 years ago
- ppl.cv is a high-performance image processing library of openPPL supporting various platforms.☆511Updated 11 months ago
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆50Updated 2 years ago
- Bolt is a deep learning library with high performance and heterogeneous flexibility.☆952Updated 6 months ago