Pinned Repositories
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
awesome-time-series
list of papers, code, and other resources
causalML
A course on causal machine learning.
char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
Deep-Learning-Time-Series-Anomaly-Detection
An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'
DeepLogo
A brand logo recognition system using deep convolutional neural networks.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
dynamic_shift_detector
A new tool for detecting changes in dynamic rules in population time series data
PACNN-PerspectiveAware-CrowdCounting
Perspective-Aware CNN for Crowd Counting
wlixin's Repositories
wlixin/PACNN-PerspectiveAware-CrowdCounting
Perspective-Aware CNN for Crowd Counting
wlixin/awesome-time-series
list of papers, code, and other resources
wlixin/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
wlixin/causalML
A course on causal machine learning.
wlixin/char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
wlixin/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
wlixin/Deep-Learning-Time-Series-Anomaly-Detection
An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'
wlixin/DeepLogo
A brand logo recognition system using deep convolutional neural networks.
wlixin/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
wlixin/dynamic_shift_detector
A new tool for detecting changes in dynamic rules in population time series data
wlixin/GNNPapers
Must-read papers on graph neural networks (GNN)
wlixin/kaggle-web-traffic
1st place solution
wlixin/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
wlixin/python
wlixin/python-learn
wlixin/pywaveclus
Python port of WaveClus
wlixin/RSPapers
Must-read papers on Recommender System.
wlixin/se
wlixin/tensorflow
wlixin/TensorFlow-Time-Series-Examples
Time Series Prediction with tf.contrib.timeseries
wlixin/TensorFlow-Tutorials-for-Time-Series
TensorFlow Tutorial for Time Series Prediction
wlixin/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
wlixin/test
This is just a test on github.
wlixin/thunder
scalable analysis of images and time series
wlixin/TimeSeriesAnalysiswithPython
Time Series Analysis with Python
wlixin/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
wlixin/whylog
whylog is a tool for root cause analysis of log entries. It allows the users to capture information about important cause-effect relations between log statements. Whylog then allows to use that knowledge to quickly determine the cause during an investigation of logs
wlixin/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow