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

A neural network that transforms a design mock-up into a static website.

Machine learning, in numpy

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！

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

Deep learning driven jazz generation using Keras & Theano!

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

TensorFlow template application for deep learning

LSTM and QRNN Language Model Toolkit for PyTorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

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.

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

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

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

The deeplearning algorithms implemented by tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

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

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Some interesting TensorFlow tutorials for beginners.

Use unsupervised and supervised learning to predict stocks

Sentiment Analysis with LSTMs in Tensorflow

Delightful npm packages that make you say "wow, didn't know that was possible!"

in progress