Network acceleration methods
☆178Jun 19, 2021Updated 4 years ago
Alternatives and similar repositories for Network-Speed-and-Compression
Users that are interested in Network-Speed-and-Compression are comparing it to the libraries listed below
Sorting:
- Papers for deep neural network compression and acceleration☆402Jun 21, 2021Updated 4 years ago
- papers about model compression☆166Feb 10, 2023Updated 3 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆954Apr 4, 2025Updated 11 months ago
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆568Feb 3, 2024Updated 2 years ago
- ☆34Feb 28, 2017Updated 9 years ago
- a list of awesome papers on deep model ompression and acceleration☆348Jun 19, 2021Updated 4 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,088May 2, 2024Updated last year
- Summary, Code for Deep Neural Network Quantization☆558Jun 14, 2025Updated 8 months ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Jul 25, 2024Updated last year
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆857Jun 19, 2021Updated 4 years ago
- ☆669Aug 25, 2021Updated 4 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆246Aug 30, 2022Updated 3 years ago
- online hard examples mining support for Faster R-CNN end to end.☆11Aug 22, 2017Updated 8 years ago
- Implementation for Trained Ternary Network.☆108Jan 13, 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 …☆76Sep 21, 2017Updated 8 years ago
- A curated list of resources about few-shot and one-shot learning☆284Apr 22, 2019Updated 6 years ago
- ☆13Sep 12, 2017Updated 8 years ago
- Reducing the size of convolutional neural networks☆112Nov 28, 2017Updated 8 years ago
- Video examples of "Appearance Composing GAN: A General Method for Appearance-Controllable Human Video Motion Transfer"☆15Dec 28, 2020Updated 5 years ago
- Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.☆12Aug 15, 2019Updated 6 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Dec 18, 2020Updated 5 years ago
- An asynchronous pytorch Dataloader for general neural network pipeline accelaration.☆53Jan 7, 2024Updated 2 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆887Jul 12, 2019Updated 6 years ago
- Model Scope in PyTorch (include Params, FLOPs, Madds).☆121May 28, 2019Updated 6 years ago
- Model Compression CLI Tool for Keras.☆156May 9, 2019Updated 6 years ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,269May 6, 2025Updated 9 months ago
- PyTorch Model Compression☆234Jan 27, 2023Updated 3 years ago
- Compress neural network with pruning and quantization using TensorFlow.☆106Dec 19, 2018Updated 7 years ago
- A curated list of neural network pruning resources.☆2,492Apr 4, 2024Updated last year
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆147Nov 28, 2017Updated 8 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Nov 9, 2020Updated 5 years ago
- Hands-on Tutorial on Automated Deep Learning☆148Aug 27, 2020Updated 5 years ago
- Portal of Johannes and Felix's RNN implementation and further modifications for ASR☆21Nov 27, 2014Updated 11 years ago
- The collection of training tricks of binarized neural networks.☆72Apr 2, 2021Updated 4 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆20Feb 24, 2019Updated 7 years ago
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,546Aug 28, 2019Updated 6 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Jun 7, 2020Updated 5 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Nov 15, 2020Updated 5 years ago
- Embedded and mobile deep learning research resources☆763Mar 14, 2023Updated 2 years ago