zhutmost / neuralzip
A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralzip
☆26Updated 2 years ago
Alternatives and similar repositories for neuralzip
Users that are interested in neuralzip are comparing it to the libraries listed below
Sorting:
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- Neural Network Quantization With Fractional Bit-widths☆12Updated 4 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- ☆19Updated 4 years ago
- DeiT implementation for Q-ViT☆24Updated 3 weeks ago
- ☆28Updated 3 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Updated last year
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- This is an implementation of YOLO using LSQ network quantization method.☆23Updated 3 years ago
- ☆18Updated 3 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆15Updated 3 years ago
- Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…☆38Updated 3 years ago
- Static Block Floating Point Quantization for CNN☆32Updated 3 years ago
- Reproducing Quantization paper PACT☆64Updated 2 years ago
- Approximate layers - TensorFlow extension☆27Updated 3 weeks ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA☆16Updated 2 years ago
- LSQ+ or LSQplus☆68Updated 3 months ago
- TQT's pytorch implementation.☆21Updated 3 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated last year
- ☆26Updated last month
- ☆15Updated 2 years ago
- PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"☆55Updated 5 years ago
- [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…☆23Updated 2 years ago
- ☆76Updated 2 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…☆25Updated 2 years ago
- Designs for finalist teams of the DAC System Design Contest☆37Updated 4 years ago
- [TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers☆41Updated last year
- Training Quantized Neural Networks with a Full-precision Auxiliary Module☆13Updated 4 years ago
- A FPGA-based neural network inference accelerator, which won the third place in DAC-SDC☆28Updated 3 years ago