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qanet

A Tensorflow implementation of QANet for machine reading comprehension

qanet-pytorch

r-net

Tensorflow Implementation of R-Net

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-with-tensorflow

Reinforcement learning tutorials

sears

Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

shellcheck

ShellCheck, a static analysis tool for shell scripts

siamese-lstm-for-sentence-similarity

A tensorflow implementation of siamese lstm.

snappy-store

SnappyStore

snappydata

SnappyData - The Spark Database. Stream, Transact, Analyze, Predict in one cluster

somiao-pinyin

Somiao Pinyin: Train your own Chinese Input Method with Seq2seq Model 搜喵拼音输入法

spark

Mirror of Apache Spark

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

spoon-knife

This repo is for demonstration purposes only.

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

stable-diffusion

A latent text-to-image diffusion model

stargan

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

tensor2tensor

A library for generalized sequence to sequence models

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-echostatenetwork

Echo state network implementation on tensorflow

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

tensorflow-ios-example

Source code for my blog post "Getting started with TensorFlow on iOS"

tensorflow-nre

Neural Relation Extraction implemented with LSTM in TensorFlow

tensorflow-reinforce

Implementations of Reinforcement Learning Models in Tensorflow

tensorflow-talk-debugging

💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.