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367 search results found

H4cker ⭐ 15,693

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

Pandas_exercises ⭐ 9,667

Practice your pandas skills!

Deep Learning Time Series ⭐ 1,811

List of papers, code and experiments using deep learning for time series forecasting

Pandas Videos ⭐ 1,808

Jupyter notebook and datasets from the pandas Q&A video series

Tigramite ⭐ 1,072

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Tensorflow Tutorials For Time Series ⭐ 1,039

TensorFlow Tutorial for Time Series Prediction

Dl Workshop Series ⭐ 935

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Getting Things Done With Pytorch ⭐ 873

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Sqlworkshops ⭐ 733

SQL Server Workshops

Gr Satellites ⭐ 715

GNU Radio decoder for Amateur satellites

Transformer ⭐ 691

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Tsmoothie ⭐ 650

A python library for time-series smoothing and outlier detection in a vectorized way.

Bayesian_changepoint_detection ⭐ 597

Methods to get the probability of a changepoint in a time series.

Time Series Classification And Clustering ⭐ 592

Time series classification and clustering code written in Python.

Itables ⭐ 538

Pandas DataFrames as Interactive DataTables

Prometheus Anomaly Detector ⭐ 535

A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detec

Timegan ⭐ 499

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

Time Series Forecasting With Python ⭐ 499

A use-case focused tutorial for time series forecasting with python

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Deltapy ⭐ 411

DeltaPy - Tabular Data Augmentation (by @firmai)

Audio Classification ⭐ 398

Code for YouTube series: Deep Learning for Audio Classification

Python library for identifying the peaks and valleys of a time series.

Test Stock Prediction Algorithms ⭐ 338

Use deep learning, genetic programming and other methods to predict stock and market movements

Practical Time Series Analysis ⭐ 333

Practical Time-Series Analysis, published by Packt

Transformer_time_series ⭐ 331

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

Microprediction ⭐ 312

If you can measure it, consider it predicted

Nlp_fundamentals ⭐ 297

📘Contains a series of hands-on notebooks for learning the fundamentals of NLP

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Time Series Classification And Clustering With Reservoir Computing ⭐ 263

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Lotteryprediction ⭐ 261

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

Deeplearningfortimeseriesforecasting ⭐ 258

A tutorial demonstrating how to implement deep learning models for time series forecasting

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Eewpython ⭐ 222

A series of Jupyter notebook to learn Google Earth Engine with Python

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

Unsupervisedscalablerepresentationlearningtimeseries ⭐ 212

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Petrophysics Python Series ⭐ 208

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

Machine Learning For Physicists ⭐ 207

Code for "Machine Learning for Physicists 2020" lecture series

Data Augmentation For Wearable Sensor Data ⭐ 198

A sample code of data augmentation methods for wearable sensor data (time-series data)

Deep Learning For Hackers ⭐ 196

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Timeseries ⭐ 195

Timeseries for everyone

Google Earth Engine Python Examples ⭐ 193

Various examples for Google Earth Engine in Python using Jupyter Notebook

Motion Sense ⭐ 189

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

Causalimpact ⭐ 189

Python port of CausalImpact R library

tspdb: Time Series Predict DB

Time_series_prediction ⭐ 167

This is the code for "Time Series Prediction" By Siraj Raval on Youtube

Bookrepo ⭐ 156

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

Keras Seq 2 Seq Signal Prediction ⭐ 148

An implementation of a sequence to sequence neural network using an encoder-decoder

Quant Finance Lectures ⭐ 147

Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.

Timesynth ⭐ 147

A Multipurpose Library for Synthetic Time Series Generation in Python

Multivariate Time Series Forecast Using Seq2seq In Tensorflow ⭐ 138

Vae Lstm For Anomaly Detection ⭐ 128

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

Benford_py ⭐ 126

Python implementation of Benford's Law tests.

Robuststl ⭐ 124

Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

Analyzing_neural_time_series ⭐ 124

python implementations of Analyzing Neural Time Series Textbook

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

How To Use Tensorflow For Time Series Live ⭐ 119

Gan Rnn_timeseries Imputation ⭐ 118

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Time_series_augmentation ⭐ 117

An example of time series augmentation methods with Keras

Intro_machine_learning ⭐ 105

Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video

Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series

Pytorch Transfomer ⭐ 95

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

Sktime Tutorial Pydata Amsterdam 2020 ⭐ 91

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

Self_driving_cars ⭐ 91

Companion code for Self-Driving Car YouTube Series

Covid 19 Casestudy And Predictions ⭐ 90

This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.

The Thalesians' Time Series Analysis (TSA) library

Berlin Time Series Analysis Repository

Pytorch 101 Tutorial Series ⭐ 87

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Fastai_extensions ⭐ 87

Code you can use jointly with fastai

Mintpy Tutorial ⭐ 82

Tutorials in Jupyter Notebook for MintPy

Embed strange attractors using a regularizer for autoencoders

Singular Spectrum Analysis for time series forecasting in Python

Python Practical Application On Climate Variability Studies ⭐ 75

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of par

Bert_experimental ⭐ 74

code and supplementary materials for a series of Medium articles about the BERT model

How To Python Code ⭐ 74

A collection of Jupyter Notebooks from the How to Python series

Turbofan Federated Learning Poc ⭐ 73

Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining lifetime of aircraft gas turbine engines.

Spacy Youtube Material ⭐ 72

Here are the notebooks used during the spacy youtube series.

Coding Druid ⭐ 70

"Coding Druid" series is my horizontal programming practice notes, each part around a topic (mathematical physics electronic graphics sound...), implemented in several programming languages.

Timeflow ⭐ 69

Tensorflow for Time Series Applications

A series of challenges for practicing your Machine Learning and Deep Learning skills

Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"

Tf Workshop Series ⭐ 66

Code, Slides, & Materials for our Tensorflow Workshop Series for Spring Quarter 2017

Python For Everything ⭐ 63

Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab

Sky Cast Capstone ⭐ 62

Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series

Julia_geospatial ⭐ 62

Examples for a blog series on Geospatial Julia using ArchGDAL

Weatherpredictpythonml ⭐ 59

Tensorflow_deep_taylor_lrp ⭐ 58

Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow

Pycon Ua 2018 ⭐ 57

Talk at PyCon UA 2018 (Kharkov, Ukraine)

Mlfundamentals ⭐ 56

Notebooks for the "ML from the Fundamentals" series

Predictive Maintenance Of Aircraft Engine ⭐ 54

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons

Escola Data Science ⭐ 52

Material de apoio da Escola de Data Science (Sigmoidal)

Examples For Data Scientists ⭐ 52

Aidc 2018 Timeseries ⭐ 51

Deep learning for time-series data

Ipeadatapy ⭐ 51

ipeadatapy is a data and metadata extraction package made in Python using Ipeadata database official API. In it's essence it is an API wrapper.

Scrape Nr Of Deaths Istanbul ⭐ 48

A scraper and simple time series analysis example with Selenium and Seaborn.

Naive_bayes ⭐ 48

the code corresponding to my csdn blog naive bayes series

Forecast Prometheus ⭐ 47

A collection of analysis, and machine learning techniques for time series forecasting w/ Prometheus metrics

Replication of Time Series Momentum strategy by Moskowtiz, Ooi, Pedersen, 2011.

Hotel Modelling ⭐ 45

Predicting Hotel Cancellations and ADR with machine learning. Classification, regression, time series analysis.

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