Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery
☆32Mar 24, 2018Updated 8 years ago
Alternatives and similar repositories for Project
Users that are interested in Project are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Caffe Implementation for Incremental network quantization☆190Jul 29, 2018Updated 8 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Aug 4, 2017Updated 9 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆57Jul 14, 2017Updated 9 years ago
- ☆13Apr 10, 2017Updated 9 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆164Mar 8, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Simple pruning example using Caffe☆32Oct 19, 2017Updated 9 years ago
- The quantization of CNN/LSTM☆11Mar 26, 2017Updated 9 years ago
- Caffe for Deep Compression☆237Nov 17, 2017Updated 8 years ago
- Dynamic Network Surgery and Incremental Network Quantisation Keras Implementations☆12Feb 24, 2018Updated 8 years ago
- Caffe implementation of Dynamic Network Surgery and Incremental Network Quantization☆15Dec 13, 2017Updated 8 years ago
- This is a really simple compression of Caffe Model☆24Apr 23, 2017Updated 9 years ago
- An NMT framework built on Joint Representation☆12Feb 19, 2020Updated 6 years ago
- Caffe implementation for dynamic network surgery.☆190Aug 15, 2017Updated 9 years ago
- Caffe/Neon prototxt training file for our Neurocomputing2017 work: Fuzzy Quantitative Deep Compression Network☆11May 30, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Caffe implementation of accurate low-precision neural networks☆120Oct 25, 2018Updated 8 years ago
- A pytorch version of Yoon Kim's work(reproduced the Kim's result)☆13Feb 4, 2018Updated 8 years ago
- Implementation of "Domain-adaptive deep network compression", ICCV 2017☆27Jul 12, 2018Updated 8 years ago
- Quantized Neural Network on Caffe2☆22Jul 30, 2020Updated 6 years ago
- github pages main entry point: https://dgschwend.github.io☆20Jul 22, 2016Updated 10 years ago
- Caffe re-implementation of ShuffleNet☆106Apr 1, 2018Updated 8 years ago
- auto Iterative pruning based on caffe☆23Oct 17, 2017Updated 9 years ago
- This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep …☆77Sep 21, 2017Updated 9 years ago
- Caffe re-implementation of dynamic network surgery.☆18Jun 15, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆246Aug 30, 2022Updated 4 years ago
- Related Paper of Efficient Deep Neural Networks☆89Jun 19, 2021Updated 5 years ago
- Position sensitive PreciseRoIPooling without roi coordinates gradient backward☆16Aug 2, 2018Updated 8 years ago
- ☆11Jul 25, 2018Updated 8 years ago
- RefineDet Network based on chainer☆14Feb 7, 2019Updated 7 years ago
- ☆47Feb 4, 2020Updated 6 years ago
- XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe☆32Apr 1, 2018Updated 8 years ago
- 机器人使用了Xilinx的SPARTAN-6系列芯片以及ISE设计工具对机器人控制电路进行了设计和仿真,验证了电路的正确性和可靠性。同时机器人使用了温湿度传感器、人体感应传感器、超声波传感器、震动传感器、有毒气体传感器等,可以对灾区的环境和受困人员进行多方面的检测和响应。还…☆12Nov 15, 2023Updated 2 years ago
- Added quantization layer into caffe (support a coarse level fixed point simulation)☆21Jan 3, 2017Updated 9 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Ristretto: Quantization and compression of large AI models. Author: Philipp Gysel.☆287Jan 24, 2026Updated 9 months ago
- Pytorch implementation of TRP☆44Sep 10, 2020Updated 6 years ago
- caffe implementation of single level quantization☆19Dec 15, 2018Updated 7 years ago
- Analysis of a given resume to find the technical skills and rank them based on projects done☆10Mar 14, 2017Updated 9 years ago
- Learning to Reinforcement Learn☆11Nov 22, 2022Updated 3 years ago
- Code example for the ICLR 2018 oral paper☆150May 31, 2018Updated 8 years ago
- ajax 上传图片PHP压缩图片 并显示☆12Mar 21, 2018Updated 8 years ago