cap-lab / S3NAS
Fast NPU-aware Neural Architecture Search
☆22Updated 3 years ago
Alternatives and similar repositories for S3NAS:
Users that are interested in S3NAS are comparing it to the libraries listed below
- ☆28Updated 3 years ago
- TQT's pytorch implementation.☆21Updated 3 years ago
- Artifact for IPDPS'21: DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions.☆13Updated 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
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated last year
- ☆46Updated 5 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆111Updated 3 years ago
- BitSplit Post-trining Quantization☆49Updated 3 years ago
- The code for Joint Neural Architecture Search and Quantization☆13Updated 6 years ago
- ☆47Updated 4 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆35Updated 2 years ago
- ☆56Updated 4 years ago
- FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch☆34Updated 3 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- PyTorch Static Quantization Example☆38Updated 4 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- ☆35Updated 5 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- ☆28Updated 4 years ago
- ProxylessNAS-Pytorch☆23Updated 5 years ago
- Arch-Net: Model Distillation for Architecture Agnostic Model Deployment☆22Updated 3 years ago
- quantize aware training package for NCNN on pytorch☆70Updated 3 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 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
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆21Updated 5 years ago
- Test scripts for exploring PyTorch JIT and quantization capability☆12Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 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