AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Build your neural network easy and fast

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Tensorflow tutorial from basic to hard

CNN-RNN中文文本分类，基于TensorFlow

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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

Deep learning driven jazz generation using Keras & Theano!

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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.

Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

Recurrent neural network for audio noise reduction

1st place solution

Datasets, tools, and benchmarks for representation learning of code.

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

TensorFlow Tutorial for Time Series Prediction

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Sentiment Analysis with LSTMs in Tensorflow

Data augmentation for NLP, presented at EMNLP 2019

Chatbot in 200 lines of code using TensorLayer

Tensorflow implementation of attention mechanism for text classification tasks.

Sequence to Sequence Models with PyTorch

RNN based Time-series Anomaly detector model implemented in Pytorch.

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

Stock Price Prediction using Machine Learning Techniques