Tiiiger / QPyTorchLinks
Low Precision Arithmetic Simulation in PyTorch
☆287Updated last year
Alternatives and similar repositories for QPyTorch
Users that are interested in QPyTorch are comparing it to the libraries listed below
Sorting:
- DNN quantization with outlier channel splitting (ICML'19)☆113Updated 5 years ago
- Quantization of Convolutional Neural networks.☆248Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆281Updated last year
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆279Updated 2 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆88Updated 3 years ago
- ☆243Updated 3 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 6 years ago
- aw_nas: A Modularized and Extensible NAS Framework☆252Updated last month
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆400Updated 4 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆452Updated 2 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆98Updated 4 years ago
- Reproduction of WAGE in PyTorch.☆44Updated 7 years ago
- [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing☆336Updated last year
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆139Updated 5 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆113Updated 2 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆75Updated 6 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆62Updated 5 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated 2 years ago
- ☆49Updated 3 years ago
- Reference implementations of popular Binarized Neural Networks☆109Updated 3 weeks ago
- Binarize convolutional neural networks using pytorch☆149Updated 3 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆264Updated 2 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆243Updated 3 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 6 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Updated 6 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆99Updated 6 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆261Updated 4 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year