dgschwend / netscope
Neural network visualizer and analyzer
☆164Updated 6 years ago
Alternatives and similar repositories for netscope:
Users that are interested in netscope are comparing it to the libraries listed below
- Ristretto: Caffe-based approximation of convolutional neural networks.☆291Updated 5 years ago
- Caffe for Sparse Convolutional Neural Network☆238Updated 2 years ago
- An efficient framework for convolutional neural networks☆276Updated last year
- Caffe implementation of accurate low-precision neural networks☆117Updated 6 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆190Updated 5 years ago
- Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.☆355Updated 4 years ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆30Updated 6 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆156Updated 7 years ago
- Binary Weight Network and XNOR Network.☆63Updated 8 years ago
- (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet☆350Updated 5 years ago
- Optimizing Mobile Deep Learning on ARM GPU with TVM☆180Updated 6 years ago
- Caffe Implementation for Incremental network quantization☆191Updated 6 years ago
- ☆402Updated 6 years ago
- A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.☆150Updated 2 years ago
- Caffe for YOLO☆230Updated 8 years ago
- This code is an implementation of a trained YOLO neural network used with the TensorRT framework.☆88Updated 8 years ago
- train resnet on imagenet from scratch with caffe☆113Updated 10 months ago
- This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"☆158Updated 6 years ago
- mobilenet-mxnet☆145Updated 6 years ago
- This repository has moved. The new link can be obtained from https://github.com/TexasInstruments/jacinto-ai-devkit☆116Updated 4 years ago
- This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.☆55Updated last year
- Benchmark of TVM quantized model on CUDA☆111Updated 4 years ago
- This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.☆88Updated 8 years ago
- A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)☆525Updated 3 years ago
- A caffe implementation of mobilenet's depthwise convolution layer.☆145Updated 7 years ago
- Reproduction of MobileNetV2 using MXNet☆128Updated 6 years ago
- Data Augmentation for Caffe☆171Updated 7 years ago
- Caffe implementation for dynamic network surgery.☆186Updated 7 years ago
- Use TensorRT API to implement Caffe-SSD, SSD(channel pruning), Mobilenet-SSD☆250Updated 6 years ago
- Caffe for Deep Compression☆238Updated 7 years ago