JC1DA / DeepMon
☆36Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for DeepMon
- Optimizing Mobile Deep Learning on ARM GPU with TVM☆179Updated 6 years ago
- Cache design for CNN on mobile☆32Updated 6 years ago
- tutorial to optimize GEMM performance on android☆51Updated 8 years ago
- RenderScript based implementation of Convolutional Neural Networks for Android phones☆52Updated 6 years ago
- ☆15Updated 7 years ago
- CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms☆88Updated last month
- ☆18Updated 2 years ago
- Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure frame…☆72Updated 6 years ago
- Efficient LSTM parallelization on smartphone GPU☆21Updated 7 years ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆30Updated 6 years ago
- Simple pruning example using Caffe☆33Updated 7 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Updated 7 years ago
- ☆39Updated 7 years ago
- Benchmark of TVM quantized model on CUDA☆112Updated 4 years ago
- A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.☆150Updated 2 years ago
- Caffe implementation of accurate low-precision neural networks☆118Updated 6 years ago
- Training deep neural networks with low precision multiplications☆63Updated 9 years ago
- Fork of https://source.codeaurora.org/quic/hexagon_nn/nnlib☆54Updated last year
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆190Updated 5 years ago
- Winograd-based convolution implementation in OpenCL☆28Updated 7 years ago
- This is a CNN Analyzer tool, based on Netscope by dgschwend/netscope☆40Updated 6 years ago
- TFLite python API package for parsing TFLite model☆12Updated 4 years ago
- ☆63Updated 6 years ago
- ☆45Updated 2 years ago
- Caffe Computation Graph Optimization.☆29Updated 4 years ago
- An analytical performance modeling tool for deep neural networks.☆87Updated 4 years ago
- This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.☆55Updated last year
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 6 years ago