AldrichZeng / Graduation-Design
基于剪枝的神经网络压缩与加速
☆20Updated 5 years ago
Alternatives and similar repositories for Graduation-Design:
Users that are interested in Graduation-Design are comparing it to the libraries listed below
- 基于提前退 出部分样本原理而实现的带分支网络(supported by chainer)☆43Updated 5 years ago
- ☆36Updated 6 years ago
- 模型压缩demo(剪枝、量化、知识蒸馏)☆70Updated 4 years ago
- Compression of Deep Neural Networks LeNet-300-100 and LeNet-5 trained on MNIST and CIFAR-10 using Quantization, Knowledge Distillation & …☆17Updated 5 years ago
- B站Efficient-Neural-Network学习分享的配套代码☆294Updated 3 years ago
- Unofficial Pytorch implementation of Deep Compression in CIFAR10☆35Updated 3 years ago
- 卷积神经网络CNN在cifar10上的应用☆28Updated 6 years ago
- ☆17Updated 6 years ago
- Pruned model: VGG & ResNet-50☆17Updated 5 years ago
- Quantize,Pytorch,Vgg16,MobileNet☆42Updated 4 years ago
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 4 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆33Updated 5 years ago
- Base to channel pruned to ResNet18 model☆144Updated 2 years ago
- An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.☆16Updated 4 years ago
- 对yolov4进行通道剪枝☆15Updated 2 years ago
- ☆11Updated 4 years ago
- base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc☆42Updated 2 years ago
- Compress neural network with pruning and quantization using TensorFlow.☆105Updated 6 years ago
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆149Updated last year
- Implementation of ENAS for CNNs on CIFAR 10☆11Updated 5 years ago
- 随着移动云计算和边缘计算的快速发展,以及人工智能的广泛应用,产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中,但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速…☆289Updated 2 years ago
- A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS☆28Updated 4 years ago
- bemova / Deep-Compression-Compressing-Deep-Neural-Networks-with-Pruning-Trained-Quantization-and-HuffmanIt is a pytorch implementation of https://arxiv.org/abs/1510.00149 paper.☆28Updated 6 years ago
- Quantize pytorch model, support post-training quantization and quantization aware training methods☆13Updated last year
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- yolov3_tiny implement on tensoeflow for int8 quantization (tflite)☆29Updated 6 years ago
- DL quantization for pytorch☆25Updated 5 years ago
- About DNN compression and acceleration on Edge Devices.☆55Updated 3 years ago
- ☆15Updated 4 years ago
- In this repository using the sparse training, group channel pruning and knowledge distilling for YOLOV4,☆31Updated last year