collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
☆568Feb 3, 2024Updated 2 years ago
Alternatives and similar repositories for Embedded-Neural-Network
Users that are interested in Embedded-Neural-Network are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning an…☆2,100Mar 30, 2026Updated 3 months ago
- Caffe for Sparse and Low-rank Deep Neural Networks☆382Mar 8, 2020Updated 6 years ago
- Implementation for Trained Ternary Network.☆108Jan 13, 2017Updated 9 years ago
- Implementation of "Iterative pruning" on TensorFlow☆160Apr 15, 2021Updated 5 years ago
- An efficient framework for convolutional neural networks☆277Aug 30, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Caffe Implementation for Incremental network quantization☆190Jul 29, 2018Updated 7 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,088May 2, 2024Updated 2 years ago
- Implementation of Ternary Weight Networks In Caffe☆62Nov 29, 2016Updated 9 years ago
- Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"☆776May 26, 2017Updated 9 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆155Aug 23, 2017Updated 8 years ago
- An OpenCL-based FPGA Accelerator for Convolutional Neural Networks☆1,385Feb 14, 2022Updated 4 years ago
- a list of awesome papers on deep model ompression and acceleration☆348Jun 19, 2021Updated 5 years ago
- Embedded and mobile deep learning research resources☆769Mar 14, 2023Updated 3 years ago
- Ristretto: Quantization and compression of large AI models. Author: Philipp Gysel.☆287Jan 24, 2026Updated 5 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Weekly report and awesome list of embedded-ai.☆385Jul 1, 2022Updated 4 years ago
- Network acceleration methods☆178Jun 19, 2021Updated 5 years ago
- ☆119Dec 20, 2017Updated 8 years ago
- Caffe implementation for dynamic network surgery.☆190Aug 15, 2017Updated 8 years ago
- Binarized Convolutional Neural Networks on Software-Programmable FPGAs (FPGA'17)☆315Nov 16, 2020Updated 5 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆954Apr 4, 2025Updated last year
- Related Paper of Efficient Deep Neural Networks☆86Jun 19, 2021Updated 5 years ago
- ImageNet classification using binary Convolutional Neural Networks☆871Dec 5, 2017Updated 8 years ago
- Reducing the size of convolutional neural networks☆114Nov 28, 2017Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆668Aug 25, 2021Updated 4 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆245Aug 30, 2022Updated 3 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 Low-bits DNNs with Stochastic Quantization☆73Aug 4, 2017Updated 8 years ago
- Deep Compression on AlexNet☆671Mar 5, 2022Updated 4 years ago
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,908Mar 31, 2023Updated 3 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,512Jun 7, 2020Updated 6 years ago
- Binary Weight Network and XNOR Network.☆63Jun 4, 2016Updated 10 years ago
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,550Aug 28, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆57Jul 14, 2017Updated 9 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Jul 25, 2019Updated 6 years ago
- Caffe re-implementation of ShuffleNet☆106Apr 1, 2018Updated 8 years ago
- Quantized Neural Networks (QNNs) on PYNQ☆705Jan 4, 2022Updated 4 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Jul 25, 2024Updated last year
- Quantization of Convolutional Neural networks.☆250Aug 5, 2024Updated last year
- ☆208Jul 20, 2018Updated 8 years ago