RNN camp was intended to show you how RNNs works. I deployed the directories "01cpp" and "01python". The "01cpp" directory includes RNNLM originally developed Tomas Mikolov. There are 9 files in the directory. You need install srilm-toolkit to process the rnnlm. You must register you ID before you use the srilm-toolkit. Two files, ngram and ngram-count are required to deal with the rnnlm.
You can see two files, "min-char-rnn.py" and "elman.py" in 01python directory. "min-char-rnn.py" was written by Andrej Karpathy (@karpathy) Stanford university. I wrote "elman.py" w.r.t. on Karpathy's python code.
N.B. You must install 'termcolor' in your python distribution through pip.
pip install --upgrade termcolor
Numpy and matplotlib are also required for you to run "elman.py"
Have a fun with these files. lol
Shin