HDLTex 1.0.5

Using pip

pip install HDLTex

Using git

git clone --recursive https://github.com/kk7nc/HDLTex.git

The primary requirements for this package are Python 3 with Tensorflow. The requirements.txt file contains a listing of the required Python packages; to install all requirements, run the following:

pip -r install requirements.txt

Or

pip3  install -r requirements.txt

Or:

conda install --file requirements.txt

If the above command does not work, use the following:

sudo -H pip  install -r requirements.txt

Documentation:

Datasets for HDLTex:

Linke of dataset:

Web of Science Dataset WOS-11967

This dataset contains 11,967 documents with 35 categories which include 7 parents categories.

Web of Science Dataset WOS-46985

This dataset contains 46,985 documents with 134 categories which include 7 parents categories.

Web of Science Dataset WOS-5736

This dataset contains 5,736 documents with 11 categories which include 3 parents categories.

Requirements :

General:

Python 3.5 or later see Instruction Documents

TensorFlow see Instruction Documents.

scikit-learn see Instruction Documents

Keras see Instruction Documents

scipy see Instruction Documents

GPU:

CUDA® Toolkit 8.0. For details, see NVIDIA’s documentation.

The NVIDIA drivers associated with CUDA Toolkit 8.0.

cuDNN v6. For details, see NVIDIA’s documentation.

GPU card with CUDA Compute Capability 3.0 or higher.

The libcupti-dev library,

To install this library, issue the following command:

$ sudo apt-get install libcupti-dev

Feature Extraction:

Global Vectors for Word Representation (GLOVE)

For CNN and RNN you need to download and linked the folder location to GLOVE