TensorFlow code and pre-trained models for BERT

Integration of TensorFlow with other open-source frameworks

A Library for Field-aware Factorization Machines

Models built with TensorFlow

TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

my python accomplish after reading the outling of word2vec made by google

Text classification using a convolutional neural network.

Simhash and near-duplicate detection

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

Html Content / Article Extractor, web scrapping lib in Python

LSTM language model with CNN over characters

Caffe models in TensorFlow

谷歌全新开源人工智能系统TensorFlow官方文档中文版

Convolutional Neural Network for Text Classification in Tensorflow

Implementing a Neural Network from Scratch

Character-level Convolutional Networks for Text Classification

Computation using data flow graphs for scalable machine learning

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

Tobe Algorithm Manual

CNNs for sentence classification

Teaching materials for the probabilistic graphical models class at Stanford

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Collect and classify android open projects