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scikitflow

Scikit-Learn wrapper for Tensorflow

scikitflowdemo

Demo of Sci-Kit Learn classes and custom classes

silvius

Kaldi-based speech recognition system + grammar

simplepythonrnn

RNN, LSTM & GRU with Bidirectional only in python & numpy

sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

speech-recognition

Speech Recognition using TensorFlow - Bidirectional LSTM based RNN

speechbrain

A PyTorch-based Speech Toolkit

spych

Scripts/Tools used for working with automatic speech recognition.

sst_brnn

STT,bidirectional LSTM

stepik_sergey_balakirev_python

stn_cnn_lstm_ctc_tensorflow

use STN+CNN+BLSTM+CTC to do OCR

subword-lstm-lm

LSTM Language Model with Subword Units Input Representations

supervisely-tutorials

🌈 Tutorials for Supervise.ly

taiga_site

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-1

Hands-On Machine Learning with Scikit-Learn and TensorFlow

tensorflow-exercise

Exercise on TensorFlow using Scikit-Learn

tensorflow_ctc_example

A short example of training a bidirectional LSTM model with connectionist temporal classification

tensorflow_end2end_speech_recognition

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

tensorflow_ner

tensorflow implementation of CNN+BLSTM+CRF model for entity recognition

text_classification

all kinds of text classificaiton models and more with deep learning

textclassifier

Text classifier for Hierarchical Attention Networks for Document Classification

tf-adaptive-softmax-lstm-lm

The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.

tf-bilstm-to-coreml

Python program to convert a Tensorflow bidirectional LSTM + CTC loss layer to a CoreML model.

tf_examples

TensorFlow and Scikit Flow examples

tfdnn-kaldi

Practiced implementing a simple DNN (along with discriminative pretraining) for acoustic modelling for ASR and used kaldi for frontend and decode. Kaldi features, alignment, etc are used in python using Karel's (https://github.com/vesis84) library (https://github.com/vesis84/kaldi-io-for-python).

tfkaldi

Speech recognition software where the neural net is trained with TensorFlow and GMM training and decoding is done in Kaldi

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

theano-kaldi

Bunch of scripts for working with Kaldi.