RichyChen/kaldi-lstm
C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA).
Developer Profile
RichyChen
Discovered public repositories for RichyChen in the GitHub catalog.
RichyChen/coding
coding
RichyChen/medal
Matlab Environment for Deep Architecture Learning
RichyChen/CudaLBFGS
This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.
RichyChen/vectorAdd_MultiGPU
vectorAdd for MultiGPU
RichyChen/Multi-GPU
Multi-GPU
RichyChen/RNN
This is a C++ implementation of Recurrent Neural Networks.(In Progress...)
RichyChen/Spoon-Knife
This repo is for demonstration purposes only. Comments and issues may or may not be responded to.
RichyChen/Hello-World
My first project