hankin's repositories
Continuous-SLR-Matlab
The matlab code is used for continuous SLR.
chamferDIs
A simple tool to calculate the chamfer distance for binary images. Especailly for detecting the end of hand point.
SLR_HMM_ISO
HMM C++ code for isolated SLR
3DCNN_HMM
3DCNN_HMM
bert
TensorFlow code and pre-trained models for BERT
caffe
Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
caffe-lstm
LSTM implementation on Caffe
caffe-tutorial
DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe
Chalearn_Test_SO
Chalearn 2013 testing with sparse observations / GCM.
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
ftdcgrs_publishData_whj
To test the DEVISIGN database
GCM_Calculation_VS11
GCM written in C++.
GCM_isolatedSign
Algorithm of GCM for sign language recognition.
handPositionAnnotation
This is the initial of annotation. It is clean and can be used just for video reading.
Isolated-SLR-GRASP-Matlab
GRASP for the multi seg SLR for isolated signs.
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). This repo is now merged into official Kaldi codebase(Karel's setup), so this repo is no longer maintained, please check out the Kaldi project instead.
Master-Thesis
That's everithing related to the tracking algorithm of my Master Thesis.
neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
SLR_HMM_CON
HMM C++ code for continuous SLR.
Theano-3D-ConvNet
3D convolutional neural network using Theano. A CNN for video; a spatio-temporal classifier.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
TurboTransformers
a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.