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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

gnnpapers

Must-read papers on graph neural networks (GNN)

kaggle-web-traffic

1st place solution

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

pacnn-perspectiveaware-crowdcounting

Perspective-Aware CNN for Crowd Counting

python

python-learn

pywaveclus

Python port of WaveClus

rspapers

Must-read papers on Recommender System.

se

tensorflow

tensorflow-time-series-examples

Time Series Prediction with tf.contrib.timeseries

tensorflow-tutorials-for-time-series

TensorFlow Tutorial for Time Series Prediction

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

test

This is just a test on github.

thunder

scalable analysis of images and time series

timeseriesanalysiswithpython

Time Series Analysis with Python

transformers

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

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

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