pikaliov

listen-attend-and-walk

Code for converting natural language instructions into its corresponding action sequence.

AC-BLSTM

Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification

albumentations

fast image augmentation library and easy to use wrapper around other libraries

Amharic-Named-Entity-Recognition-Using-Deep-Neural-Networks

Amharic Named Entity Recognition Models ,Built Using Keras BLSTM,LSTM and CNN

anago

Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.

Automatic_Speech_Recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

awesome-speech-recognition-speech-synthesis-papers

Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

CharLM

Character-aware Neural Language Model implemented by PyTorch

Courses-books-articles-etc

My list of completed/wanted courses, books, articles, etc by topics

datasets_object_detection

Manipulation for object detection datasets and use them as tensors with Pytorch framework

DeepLearningDC

The Deep Learning exercises provided in DataCamp by Dan Becker

Dense_BiLSTM

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Document-Classifier-LSTM

A bidirectional LSTM with attention for multiclass/multilabel text classification.

emotion_classification

Emotion classification from audio files using a bidirectional LSTM model implemented in PyTorch

kaldi

This is now the official location of the Kaldi project.

MADE

Materials from Big Data Academy MADE

MADE_BigData_2021

models

Models and examples built with TensorFlow

ner-bilstm-cnn

Named Entity Recognition with Bidirectional LSTM-CNNs

py-kaldi-asr

Some simple wrappers around kaldi-asr intended to make using kaldi's (online) decoders as convenient as possible.

pySpeechRev

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

SincNet

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

spaCy

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

speechbrain

A PyTorch-based Speech Toolkit

Stepik_Sergey_Balakirev_Python

STN_CNN_LSTM_CTC_TensorFlow

use STN+CNN+BLSTM+CTC to do OCR

tensorflow

Computation using data flow graphs for scalable machine learning

ToxicCommentsClassification

Bidirectional LSTM in TensorFlow for Kaggle Text Classification Competition