romulus0914 / CNN_VGG19_CUDALinks
Convolutional Neural Network of vgg19 model using Cuda to accelerate
☆12Updated 7 years ago
Alternatives and similar repositories for CNN_VGG19_CUDA
Users that are interested in CNN_VGG19_CUDA are comparing it to the libraries listed below
Sorting:
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆193Updated 6 years ago
- implementation of Iterative Pruning for Deep neural network [Han2015].☆40Updated 7 years ago
- Tensorflow quantization (float32-->int8) inference test☆76Updated 7 years ago
- I demonstrate how to compress a neural network using pruning in tensorflow.☆78Updated 8 years ago
- Benchmark of TVM quantized model on CUDA☆112Updated 5 years ago
- Fast CUDA Kernels for ResNet Inference.☆182Updated 6 years ago
- A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication☆43Updated 7 years ago
- ResNet-20/32/44/56/110 on CIFAR-10 with Caffe☆174Updated last year
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- Caffe Implementation for Incremental network quantization☆191Updated 7 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆154Updated 8 years ago
- Caffe implementation of accurate low-precision neural networks☆119Updated 7 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 6 years ago
- Caffe for Sparse and Low-rank Deep Neural Networks☆382Updated 5 years ago
- GPU implementation of Winograd convolution☆10Updated 8 years ago
- 动手学习TVM核心原理教程☆64Updated 5 years ago
- Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.☆14Updated 8 years ago
- ☆67Updated 6 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆168Updated 4 years ago
- ☆213Updated 7 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 7 years ago
- A way to use cuda to accelerate top k algorithm☆30Updated 8 years ago
- Implementation for Trained Ternary Network.☆108Updated 9 years ago
- Tensorflow code for training different architectures(DenseNet, ResNet, AlexNet, GoogLeNet, VGG, NiN) on ImageNet dataset + Multi-GPU supp…☆170Updated 7 years ago
- Simple pruning example using Caffe☆33Updated 8 years ago
- Quantized Neural Networks - networks trained for inference at arbitrary low precision.☆147Updated 8 years ago
- tophub autotvm log collections☆69Updated 3 years ago
- ☆24Updated 7 years ago
- A small deep-learning framework with C++/Python/CUDA☆54Updated 7 years ago
- Caffe implementation for dynamic network surgery.☆188Updated 8 years ago