Yaroslav Pikaliov's repositories
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
kaldi
This is now the official location of the Kaldi project.
spaCy
đź’« Industrial-strength Natural Language Processing (NLP) with Python and Cython
py-kaldi-asr
Some simple wrappers around kaldi-asr intended to make using kaldi's (online) decoders as convenient as possible.
albumentations
fast image augmentation library and easy to use wrapper around other libraries
models
Models and examples built with TensorFlow
tensorflow
Computation using data flow graphs for scalable machine learning
speechbrain
A PyTorch-based Speech Toolkit
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.
MADE
Materials from Big Data Academy MADE
SincNet
SincNet is a neural architecture for efficiently processing raw audio samples.
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.
anago
Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.
Document-Classifier-LSTM
A bidirectional LSTM with attention for multiclass/multilabel text classification.
listen-attend-and-walk
Code for converting natural language instructions into its corresponding action sequence.
DeepLearningDC
The Deep Learning exercises provided in DataCamp by Dan Becker
awesome-speech-recognition-speech-synthesis-papers
Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Dense_BiLSTM
Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
emotion_classification
Emotion classification from audio files using a bidirectional LSTM model implemented in PyTorch
AC-BLSTM
Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification
CharLM
Character-aware Neural Language Model implemented by PyTorch
ToxicCommentsClassification
Bidirectional LSTM in TensorFlow for Kaggle Text Classification Competition
ner-bilstm-cnn
Named Entity Recognition with Bidirectional LSTM-CNNs
Amharic-Named-Entity-Recognition-Using-Deep-Neural-Networks
Amharic Named Entity Recognition Models ,Built Using Keras BLSTM,LSTM and CNN
STN_CNN_LSTM_CTC_TensorFlow
use STN+CNN+BLSTM+CTC to do OCR
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.