Bin Cui's repositories
Show_and_Tell
Show and Tell : A Neural Image Caption Generator
LeakGAN
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
neural-style
Torch implementation of neural style algorithm
hypertools
A python toolbox for gaining geometric insights into high-dimensional data
mzmine2
MZmine 2 source repository
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
neural-image-captioning
Using scene-specific contexts and region-based attention in neural image captioning
ray
A high-performance distributed execution engine
oryx
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
SeqGAN-Tensorflow
SeqGAN implementation with Tensorflow
Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
Practical-Time-Series-Analysis
Practical Time-Series Analysis, published by Packt
seq2seq
Sequence to Sequence Learning with Keras
lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
luminol
Anomaly Detection and Correlation library
DeepNovo
Protein Identification with Deep Learning
deep-learning-book
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
couchbase-spark-samples
Examples on how to use the Couchbase Spark Connector
neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
ansible-cmdb
Generate host overview from ansible fact gathering output
STLDecompose
A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
kafka-streams-machine-learning-examples
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, DeepLearning4 and other technologies.
nupic
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
dygraphs
Interactive visualizations of time series using JavaScript and the HTML canvas tag
Neural-Style-Transfer
Keras implementation
banshee
Anomalies detection system for periodic metrics.
tensorflow-seq2seq-tutorials
Dynamic seq2seq in TensorFlow, step by step