taisukeoe / DL4J-Android-ExampleLinks
Deeplearning4j Android Example repository
☆11Updated 9 years ago
Alternatives and similar repositories for DL4J-Android-Example
Users that are interested in DL4J-Android-Example are comparing it to the libraries listed below
Sorting:
- Efficient LSTM parallelization on smartphone GPU☆21Updated 8 years ago
- Training neural networks with 8-bit computations☆28Updated 9 years ago
- ☆57Updated 7 years ago
- Training deep neural networks with low precision multiplications☆64Updated 10 years ago
- Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy…☆61Updated 6 years ago
- Swish Activation - PyTorch CUDA Implementation☆37Updated 6 years ago
- Torch 7 + Android port of Neural style algorithm☆10Updated 9 years ago
- ☆62Updated 7 years ago
- ☆54Updated 8 years ago
- Neural Style Transfer with Caffe2 on your Android phone☆82Updated 6 years ago
- Personal collection of references for high performance mixed precision training.☆41Updated 6 years ago
- Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…☆36Updated 5 years ago
- Fast binary matrix product on CPU☆10Updated 9 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Updated 7 years ago
- A PyTorch implementation of MNASNET☆47Updated 7 years ago
- PyProf2: PyTorch Profiling tool☆82Updated 5 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 6 years ago
- LCNN: Lookup-based Convolutional Neural Network☆52Updated 8 years ago
- Prunable nn layers for pytorch.☆48Updated 7 years ago
- TensorFlow ImageNet - Training and SOTA checkpoints☆52Updated 7 years ago
- ☆47Updated 6 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆95Updated 7 years ago
- Binarized Neural Network TF training code + C matrix / eval library.☆101Updated 8 years ago
- Implement Differentiable Architecture Search (DARTS) for RNN with fastai☆24Updated 6 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆37Updated 6 years ago
- Computation using data flow graphs for scalable machine learning☆25Updated 8 years ago
- ☆13Updated 8 years ago
- An adapted version of the original caffe deep learning library to support training, finetuning and testing of convolutional neural networ…☆20Updated 8 years ago
- ☆17Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago