An efficient framework for convolutional neural networks
☆278Aug 30, 2023Updated 2 years ago
Alternatives and similar repositories for quantized-cnn
Users that are interested in quantized-cnn are comparing it to the libraries listed below
Sorting:
- Caffe Implementation for Incremental network quantization☆190Jul 29, 2018Updated 7 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Aug 4, 2017Updated 8 years ago
- Ristretto: Quantization and compression of large AI models. Author: Philipp Gysel.☆288Jan 24, 2026Updated last month
- ImageNet classification using binary Convolutional Neural Networks☆866Dec 5, 2017Updated 8 years ago
- Caffe re-implementation of ShuffleNet☆106Apr 1, 2018Updated 7 years ago
- Caffe implementation of accurate low-precision neural networks☆119Oct 25, 2018Updated 7 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆57Jul 14, 2017Updated 8 years ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆1,062Nov 28, 2018Updated 7 years ago
- caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342☆148Sep 19, 2018Updated 7 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,088May 2, 2024Updated last year
- ☆404Mar 15, 2019Updated 6 years ago
- Demo code for PVANet☆651Jun 17, 2022Updated 3 years ago
- This is a fast caffe implementation of ShuffleNet.☆453Aug 30, 2018Updated 7 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Nov 29, 2016Updated 9 years ago
- Caffe implementation for dynamic network surgery.☆189Aug 15, 2017Updated 8 years ago
- auto-tuning momentum SGD optimizer☆23Jul 14, 2017Updated 8 years ago
- Implementation for Trained Ternary Network.☆108Jan 13, 2017Updated 9 years ago
- Deep Compression on AlexNet☆673Mar 5, 2022Updated 3 years ago
- Caffe for Sparse and Low-rank Deep Neural Networks☆382Mar 8, 2020Updated 5 years ago
- residual-SqueezeNet☆155Mar 15, 2019Updated 6 years ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆307Nov 10, 2021Updated 4 years ago
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆567Feb 3, 2024Updated 2 years ago
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆147Nov 28, 2017Updated 8 years ago
- Low-rank convolutional neural networks☆97Mar 24, 2016Updated 9 years ago
- Some handy utility libraries and tools for the Caffe deep learning framework.☆460Feb 4, 2019Updated 7 years ago
- This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.☆87Jan 25, 2017Updated 9 years ago
- Training Deep Neural Networks with binary weights during propagations☆382Feb 15, 2016Updated 10 years ago
- Implement for ``Learning Deep Features via Congenerous Cosine Loss for Person Recognition''☆175Dec 11, 2017Updated 8 years ago
- This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"☆160Jun 1, 2018Updated 7 years ago
- Deep Face Model Compression☆195Aug 21, 2018Updated 7 years ago
- Caffe Implementation of Google's MobileNets (v1 and v2)☆1,274Jun 8, 2021Updated 4 years ago
- Open Source Library for GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android☆542Apr 12, 2017Updated 8 years ago
- ☆57May 7, 2018Updated 7 years ago
- Binary Weight Network and XNOR Network.☆62Jun 4, 2016Updated 9 years ago
- YOLO (Real-Time Object Detection) in caffe☆517Jan 5, 2017Updated 9 years ago
- (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet☆351Nov 18, 2019Updated 6 years ago
- Related Paper of Efficient Deep Neural Networks☆86Jun 19, 2021Updated 4 years ago
- Caffe re-implementation of dynamic network surgery.☆18Jun 15, 2018Updated 7 years ago
- ☆13Apr 10, 2017Updated 8 years ago