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Functions252 in github.com/amaas/stanford-ctc

MethodcostAndGradVec
Vectorized version of CTC cost
ctc/nnet.py:128
Functiondecode_best_path
Computes best path given sequence of probability distributions per frame. Simply chooses most likely label at each timestep then collapses re
ctc/ctc.py:109
Functiondecode_utterance
(k, probs, labels, phone_map, lm=None)
ctc_fast/runDecode.py:41
Functiondecode_utterance_clm
(k, probs, labels, charmap_file, lm_file)
ctc_fast/runDecode_new.py:10
Functiondisp_corr
Display correspondences between hyp and ref
ctc_fast/swbd-utils/errorAnalysis.py:13
Functionempty
()
ctc_fast/viewer/jquery.tablesorter.min.js:4
MethodfromFile
(self,fid)
ctc_fast/nnets/brnnet.py:269
MethodfromFile
(self,fid)
ctc_fast/nnets/rnnet.py:212
MethodfromFile
(self,fid)
ctc/rnnet.py:253
Methodfrom_string
(cls, string)
ctc_fast/run_utils.py:76
FunctiongetCachedSortType
(parsers,i)
ctc_fast/viewer/jquery.tablesorter.min.js:4
Functionget_phone_map_timit
()
ctc/runNNet.py:150
MethodloadAndPipeFile
(self,filenum,conn)
ctc_fast/dataLoader.py:34
Functionload_and_pickle_lm
()
ctc_fast/decoder/prefixTree.py:75
Methodload_bg
ctc_fast/decoder/fastdecode/lm.cpp:92
Methodload_ug
ctc_fast/decoder/fastdecode/lm.cpp:61
Functionmain
ctc_fast/decoder/fastdecode/test_decode.cpp:8
Functionmain
ctc_fast/decoder/fastdecode/test_lm.cpp:4
Functionmain
ctc_fast/decoder/fastdecode/test_prefix_tree.cpp:3
FunctionmakeSortNumeric
(i)
ctc_fast/viewer/jquery.tablesorter.min.js:4
FunctionmakeSortNumericDesc
(i)
ctc_fast/viewer/jquery.tablesorter.min.js:4
FunctionmakeSortText
(i)
ctc_fast/viewer/jquery.tablesorter.min.js:4
FunctionmakeSortTextDesc
(i)
ctc_fast/viewer/jquery.tablesorter.min.js:4
MethodparamVec
(self)
py-simple-hybrid/nnet.py:114
MethodparamVec
(self)
ctc/rnnet.py:119
MethodparamVec
(self)
ctc/nnet.py:86
MethodparamsToHost
(self)
ctc/nnet.py:89
Functionprocess_run_dir
(run_dir, figs=False)
ctc_fast/browse_runs.py:22
Methodread_header
ctc_fast/decoder/fastdecode/lm.cpp:41
Functionrelu
(x, computeGrad = False)
py-simple-hybrid/nnet.py:13
Functionrelu
(x, computeGrad = False)
ctc/rnnet.py:19
Functionrelu
(x, computeGrad = False)
ctc/nnet.py:15
Functionrelu_hard
(x, computeGrad = False)
py-simple-hybrid/nnet.py:5
Functionrelu_hard
(x, computeGrad = False)
ctc/rnnet.py:11
Functionrelu_hard
(x, computeGrad = False)
ctc/nnet.py:7
Functionscrub
()
ctc_fast/decoder/prefixTree.py:9
Functionsigmoid
(x, computeGrad = False)
py-simple-hybrid/nnet.py:23
Functionsigmoid
(x, computeGrad = False)
ctc/rnnet.py:29
Functionsigmoid
(x, computeGrad = False)
ctc/nnet.py:25
Functionsmooth_arr
(arr, win_size)
ctc_fast/plot_results.py:18
FunctionsortNumeric
(a,b)
ctc_fast/viewer/jquery.tablesorter.min.js:4
FunctionsortNumericDesc
(a,b)
ctc_fast/viewer/jquery.tablesorter.min.js:4
FunctionsortText
(a,b)
ctc_fast/viewer/jquery.tablesorter.min.js:4
FunctionsortTextDesc
(a,b)
ctc_fast/viewer/jquery.tablesorter.min.js:4
MethodtoFile
Saves only the network parameters to the given fd.
ctc_fast/nnets/brnnet.py:258
MethodtoFile
Saves only the network parameters to the given fd.
ctc_fast/nnets/rnnet.py:200
MethodtoFile
Saves only the network parameters to the given fd.
ctc/rnnet.py:246
Methodug_prob
ctc_fast/decoder/fastdecode/lm.cpp:114
Functionunique_tokens
Reads swbd transcripts and stores unique tokens.
util/swbd/write_alis.py:14
MethodupdateParams
(self,scale,update)
ctc_fast/nnets/brnnet.py:251
MethodupdateParams
(self,scale,update)
ctc_fast/nnets/rnnet.py:193
MethodupdateParams
This is to do parameter updates in place. Performs the same whether RNN or not
ctc/rnnet.py:80
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