Owen864720655's repositories
deepnlp
Deep Learning NLP Pipeline implemented on Tensorflow
transformer-tensorflow
TensorFlow implementation of 'Attention Is All You Need (2017. 6)'
torch-rnn
Efficient, reusable RNNs and LSTMs for torch
Triplet-Loss
Fine tune and train a CNN pre-trained on Imagenet dataset, using Triplet Loss
tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
Academic
Academic Bio
word-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
KerasDeepSpeech
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
CTCWordBeamSearch
Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.
first-contributions
🚀 Yet another project to get beginners contributing to open source 🔰
DALM
An Efficient Language Model Using Double-Array Structures
ParallelFDTD
A Parallel FDTD solver for room acoustics
tensorflow_end2end_speech_recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
MoS-Tensorflow
Mixture of Softmaxes implementation in Tensorflow
How_to_make_a_text_summarizer
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
DeepSpeech2-Keras
DeepSpeech, Speech To Text, ASR, Speech recognition, Keras, Tensorflow
keras-language-modeling
:book: Some language modeling tools for Keras
eesen
The official repository of the Eesen project
neural_chinese_transliterator
Can CNNs transliterate Pinyin into Chinese characters correctly?
rir_simulator_python
Room impulse response simulator using python
papers-we-love
Papers from the computer science community to read and discuss.
librime
Rime Input Method Engine, the core library
speech-recognition-repo
Speech Recognition
sunpinyin
A statistical language model based Chinese input method
speaker-verification
Implementation of state of the art d-vector approach for speaker verification