wlixin's repositories

PACNN-PerspectiveAware-CrowdCounting

Perspective-Aware CNN for Crowd Counting

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awesome-time-series

list of papers, code, and other resources

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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causalML

A course on causal machine learning.

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char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

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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

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Deep-Learning-Time-Series-Anomaly-Detection

An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'

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DeepLogo

A brand logo recognition system using deep convolutional neural networks.

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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dynamic_shift_detector

A new tool for detecting changes in dynamic rules in population time series data

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GNNPapers

Must-read papers on graph neural networks (GNN)

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kaggle-web-traffic

1st place solution

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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

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pywaveclus

Python port of WaveClus

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RSPapers

Must-read papers on Recommender System.

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TensorFlow-Time-Series-Examples

Time Series Prediction with tf.contrib.timeseries

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TensorFlow-Tutorials-for-Time-Series

TensorFlow Tutorial for Time Series Prediction

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tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

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test

This is just a test on github.

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thunder

scalable analysis of images and time series

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TimeSeriesAnalysiswithPython

Time Series Analysis with Python

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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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

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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

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