Pinned Repositories
charlton
Describing statistical models in Python
couchbase-examples
couchdb
Mirror of Apache CouchDB
couchdb-window-installer
d3
A JavaScript visualization library for HTML and SVG.
DeepQA
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
EnyimMemcached
C# Memcached client
gperftools-2.0
Clone from gperftools-2.0
healthchecker
workload-generator
bcui6611's Repositories
bcui6611/ansible-cmdb
Generate host overview from ansible fact gathering output
bcui6611/banshee
Anomalies detection system for periodic metrics.
bcui6611/couchbase-spark-samples
Examples on how to use the Couchbase Spark Connector
bcui6611/CouchbaseFlinkSource
bcui6611/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.
bcui6611/deep-learning-book
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
bcui6611/DeepNovo
Protein Identification with Deep Learning
bcui6611/dygraphs
Interactive visualizations of time series using JavaScript and the HTML canvas tag
bcui6611/hypertools
A python toolbox for gaining geometric insights into high-dimensional data
bcui6611/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.
bcui6611/keras-conv1d
bcui6611/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.
bcui6611/lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
bcui6611/luminol
Anomaly Detection and Correlation library
bcui6611/Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
bcui6611/mzmine2
MZmine 2 source repository
bcui6611/neural-image-captioning
Using scene-specific contexts and region-based attention in neural image captioning
bcui6611/neural-style
Torch implementation of neural style algorithm
bcui6611/Neural-Style-Transfer
Keras implementation
bcui6611/neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
bcui6611/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.
bcui6611/oryx
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
bcui6611/Practical-Time-Series-Analysis
Practical Time-Series Analysis, published by Packt
bcui6611/ray
A high-performance distributed execution engine
bcui6611/seq2seq
Sequence to Sequence Learning with Keras
bcui6611/SeqGAN-Tensorflow
SeqGAN implementation with Tensorflow
bcui6611/Show_and_Tell
Show and Tell : A Neural Image Caption Generator
bcui6611/STLDecompose
A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
bcui6611/tensorflow-seq2seq-tutorials
Dynamic seq2seq in TensorFlow, step by step
bcui6611/TwitterToCouchbaseFlink