romulus0914 / CNN_VGG19_CUDA
Convolutional Neural Network of vgg19 model using Cuda to accelerate
☆11Updated 6 years ago
Related projects: ⓘ
- Simple pruning example using Caffe☆33Updated 6 years ago
- implementation of Iterative Pruning for Deep neural network [Han2015].☆40Updated 6 years ago
- A pyCaffe implementaion of the 2017 ICLR's "Pruning Filters for Efficient ConvNets" publication☆43Updated 6 years ago
- Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.☆14Updated 6 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆32Updated 5 years ago
- This is a CNN Analyzer tool, based on Netscope by dgschwend/netscope☆40Updated 6 years ago
- Benchmark of TVM quantized model on CUDA☆112Updated 4 years ago
- I demonstrate how to compress a neural network using pruning in tensorflow.☆78Updated 7 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 7 years ago
- ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)☆17Updated 5 years ago
- ☆66Updated 4 years ago
- ☆51Updated 6 years ago
- Tensorflow quantization (float32-->int8) inference test☆74Updated 6 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆39Updated 5 years ago
- ☆45Updated 5 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 5 years ago
- ☆24Updated 6 years ago
- PyTorch -> ONNX -> TVM for autotuning☆24Updated 4 years ago
- I'm going to use the Winograd’s minimal filtering algorithms to introduce a new class of fast algorithms for convolutional neural networks…☆12Updated 6 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆71Updated 5 years ago
- Training with FP16 weights in PyTorch☆76Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆42Updated 5 years ago
- Implementation for Trained Ternary Network.☆108Updated 7 years ago
- Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Updated 6 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆154Updated 7 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆55Updated 7 years ago
- ☆10Updated 4 years ago
- Caffe implementation of accurate low-precision neural networks☆118Updated 5 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆104Updated 3 years ago
- implementation of winograd minimal convolution algorithm on Intel Architecture☆37Updated 6 years ago