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This page summarizes the projects mentioned and recommended in the original post on /r/learnpython

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  • kenlm

    KenLM: Faster and Smaller Language Model Queries

  • #!/usr/bin/env bash if [ ! -d kenlm ]; then git clone https://github.com/kpu/kenlm.git echo -e "\n" fi if [ ! -d openfst-1.6.3 ]; then echo "Download and extract openfst ..." wget http://www.openfst.org/twiki/pub/FST/FstDownload/openfst-1.6.3.tar.gz tar -xzvf openfst-1.6.3.tar.gz echo -e "\n" fi if [ ! -d ThreadPool ]; then git clone https://github.com/progschj/ThreadPool.git echo -e "\n" fi echo "Install decoders ..." python setup.py install --num_processes 4

  • ThreadPool

    A simple C++11 Thread Pool implementation

  • #!/usr/bin/env bash if [ ! -d kenlm ]; then git clone https://github.com/kpu/kenlm.git echo -e "\n" fi if [ ! -d openfst-1.6.3 ]; then echo "Download and extract openfst ..." wget http://www.openfst.org/twiki/pub/FST/FstDownload/openfst-1.6.3.tar.gz tar -xzvf openfst-1.6.3.tar.gz echo -e "\n" fi if [ ! -d ThreadPool ]; then git clone https://github.com/progschj/ThreadPool.git echo -e "\n" fi echo "Install decoders ..." python setup.py install --num_processes 4

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  • OpenSeq2Seq

    Discontinued Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

  • git clone https://github.com/NVIDIA/OpenSeq2Seq -b ctc-decodersmv OpenSeq2Seq/decoders . rm -rf OpenSeq2Seq cd decoders ./setup.sh cd ..

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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