ahmetaa / fast-dnnLinks
A fast deep neural network library (CPU) for speech recognition
☆86Updated 6 years ago
Alternatives and similar repositories for fast-dnn
Users that are interested in fast-dnn are comparing it to the libraries listed below
Sorting:
- Faster Deep Neural Networks☆37Updated 8 years ago
- Simple MXNet sequence-to-sequence model (neural machine translation)☆24Updated 7 years ago
- Deep neural network framework (C/C++/CUDA).☆32Updated 10 years ago
- Training deep neural networks with low precision multiplications☆64Updated 10 years ago
- A recurrent neural network library for sequence learning problems.☆45Updated 10 years ago
- Custom fork containing our own python backend for integration into neon☆15Updated 3 years ago
- C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly languag…☆215Updated 10 years ago
- a C++ wrapper of Caffe and mxnet to make predictions☆49Updated 7 years ago
- Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends☆182Updated 7 years ago
- C++ interface for mxnet☆115Updated 8 years ago
- Symbolic differentiation engine for optimization-based machine learning models.☆43Updated 8 years ago
- Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016☆80Updated 9 years ago
- long short-term memory for recursive neural network model☆66Updated 6 years ago
- Standalone C TH library☆61Updated 8 years ago
- A Python module for compiling PyTorch graphs to C☆92Updated 7 years ago
- RecNet - Recurrent Neural Network Framework☆73Updated 8 years ago
- A MXNet implementation of Baidu's DeepSpeech architecture☆83Updated 7 years ago
- GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..☆26Updated 5 years ago
- Basic library that can run networks created with Torch☆174Updated 5 years ago
- Quantize weights and activations in Recurrent Neural Networks.☆95Updated 7 years ago
- DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows☆26Updated 8 years ago
- A. Grave's RNNLIB made more readable☆39Updated 11 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆137Updated 8 years ago
- tutorial to optimize GEMM performance on android☆51Updated 9 years ago
- C++ implementation for Neural Network-based NLP, such as LSTM machine translation!☆86Updated 8 years ago
- Flattened convolutional neural networks (1D convolution modules for Torch nn)☆61Updated 10 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Updated 8 years ago
- OpenCL Inference Engine for pytorch☆51Updated 8 years ago
- CTC implementation in Theano.☆42Updated 9 years ago
- Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).☆94Updated 9 years ago