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Search results for jupyter notebook series
jupyternotebook
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series
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367 search results found
H4cker
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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
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9,667
Practice your pandas skills!
Deep Learning Time Series
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1,811
List of papers, code and experiments using deep learning for time series forecasting
Pandas Videos
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1,808
Jupyter notebook and datasets from the pandas Q&A video series
Tigramite
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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
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1,039
TensorFlow Tutorial for Time Series Prediction
Dl Workshop Series
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935
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Getting Things Done With Pytorch
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873
Jupyter Notebook tutorials on solving realworld 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
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733
SQL Server Workshops
Gr Satellites
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715
GNU Radio decoder for Amateur satellites
Transformer
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691
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
Tsmoothie
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650
A python library for timeseries smoothing and outlier detection in a vectorized way.
Bayesian_changepoint_detection
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597
Methods to get the probability of a changepoint in a time series.
Time Series Classification And Clustering
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592
Time series classification and clustering code written in Python.
Itables
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538
Pandas DataFrames as Interactive DataTables
Prometheus Anomaly Detector
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535
A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheusanomalydetec
Timegan
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499
Codebase for Timeseries Generative Adversarial Networks (TimeGAN)  NeurIPS 2019
Time Series Forecasting With Python
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499
A usecase focused tutorial for time series forecasting with python
Pyaf
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438
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Deltapy
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411
DeltaPy  Tabular Data Augmentation (by @firmai)
Audio Classification
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398
Code for YouTube series: Deep Learning for Audio Classification
Zigzag
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349
Python library for identifying the peaks and valleys of a time series.
Test Stock Prediction Algorithms
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338
Use deep learning, genetic programming and other methods to predict stock and market movements
Practical Time Series Analysis
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333
Practical TimeSeries Analysis, published by Packt
Transformer_time_series
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331
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
Microprediction
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312
If you can measure it, consider it predicted
Nlp_fundamentals
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297
📘Contains a series of handson notebooks for learning the fundamentals of NLP
Tempo
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293
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
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263
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
Lotteryprediction
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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
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258
A tutorial demonstrating how to implement deep learning models for time series forecasting
Da Rnn
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234
📃 **Unofficial** PyTorch Implementation of DARNN (arXiv:1704.02971)
Eewpython
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222
A series of Jupyter notebook to learn Google Earth Engine with Python
Warren
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214
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multivariate, singlestep time series forecasting strategy.
Unsupervisedscalablerepresentationlearningtimeseries
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212
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
Petrophysics Python Series
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208
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
Machine Learning For Physicists
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207
Code for "Machine Learning for Physicists 2020" lecture series
Data Augmentation For Wearable Sensor Data
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198
A sample code of data augmentation methods for wearable sensor data (timeseries data)
Deep Learning For Hackers
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196
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included)  (LSTMs, Hyperameter tuning, Data preprocessing, Biasvariance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Timeseries
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195
Timeseries for everyone
Google Earth Engine Python Examples
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193
Various examples for Google Earth Engine in Python using Jupyter Notebook
Motion Sense
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189
MotionSense Dataset for Human Activity and Attribute Recognition ( timeseries data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
Causalimpact
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189
Python port of CausalImpact R library
Tspdb
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184
tspdb: Time Series Predict DB
Time_series_prediction
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167
This is the code for "Time Series Prediction" By Siraj Raval on Youtube
Bookrepo
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156
Saxpy
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155
Symbolic Aggregate approXimation, HOTSAX, and SAXVSM implementation in Python
Keras Seq 2 Seq Signal Prediction
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148
An implementation of a sequence to sequence neural network using an encoderdecoder
Quant Finance Lectures
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147
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Timesynth
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147
A Multipurpose Library for Synthetic Time Series Generation in Python
Multivariate Time Series Forecast Using Seq2seq In Tensorflow
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138
Vae Lstm For Anomaly Detection
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128
We propose a VAELSTM model as an unsupervised learning approach for anomaly detection in time series.
Benford_py
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126
Python implementation of Benford's Law tests.
Robuststl
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124
Unofficial Implementation of RobustSTL: A Robust SeasonalTrend Decomposition Algorithm for Long Time Series (AAAI 2019)
Analyzing_neural_time_series
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124
python implementations of Analyzing Neural Time Series Textbook
Tcdf
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121
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
How To Use Tensorflow For Time Series Live
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119
Gan Rnn_timeseries Imputation
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118
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Time_series_augmentation
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117
An example of time series augmentation methods with Keras
Intro_machine_learning
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105
Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video
Mssa
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102
Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
Pytorch Transfomer
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95
My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
Sktime Tutorial Pydata Amsterdam 2020
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91
Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
Self_driving_cars
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91
Companion code for SelfDriving Car YouTube Series
Covid 19 Casestudy And Predictions
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90
This repository is a case study, analysis and visualization of COVID19 Pandemic spread along with prediction models.
Tsa
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90
The Thalesians' Time Series Analysis (TSA) library
Btsa
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88
Berlin Time Series Analysis Repository
Pytorch 101 Tutorial Series
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87
PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
Fastai_extensions
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87
Code you can use jointly with fastai
Mintpy Tutorial
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82
Tutorials in Jupyter Notebook for MintPy
Fnn
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82
Embed strange attractors using a regularizer for autoencoders
Pssa
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76
Singular Spectrum Analysis for time series forecasting in Python
Python Practical Application On Climate Variability Studies
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75
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of knowhow 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
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74
code and supplementary materials for a series of Medium articles about the BERT model
How To Python Code
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74
A collection of Jupyter Notebooks from the How to Python series
Turbofan Federated Learning Poc
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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
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72
Here are the notebooks used during the spacy youtube series.
Coding Druid
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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
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69
Tensorflow for Time Series Applications
Mlkatas
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67
A series of challenges for practicing your Machine Learning and Deep Learning skills
Stnn
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67
Code for the paper "SpatioTemporal Neural Networks for SpaceTime Series Modeling and Relations Discovery"
Tf Workshop Series
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66
Code, Slides, & Materials for our Tensorflow Workshop Series for Spring Quarter 2017
Python For Everything
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63
Materials for teaching the Python for Everything workshop at UC Berkeley's Dlab
Sky Cast Capstone
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62
Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
Julia_geospatial
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62
Examples for a blog series on Geospatial Julia using ArchGDAL
Weatherpredictpythonml
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59
Tensorflow_deep_taylor_lrp
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58
Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow
Pycon Ua 2018
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57
Talk at PyCon UA 2018 (Kharkov, Ukraine)
Mlfundamentals
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56
Notebooks for the "ML from the Fundamentals" series
Predictive Maintenance Of Aircraft Engine
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54
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
Cometts
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53
Comet Time Series Toolset for working with a timeseries of remote sensing imagery and user defined polygons
Escola Data Science
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52
Material de apoio da Escola de Data Science (Sigmoidal)
Examples For Data Scientists
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52
Aidc 2018 Timeseries
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51
Deep learning for timeseries data
Ipeadatapy
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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
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48
A scraper and simple time series analysis example with Selenium and Seaborn.
Naive_bayes
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48
the code corresponding to my csdn blog naive bayes series
Forecast Prometheus
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47
A collection of analysis, and machine learning techniques for time series forecasting w/ Prometheus metrics
Tsmom
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46
Replication of Time Series Momentum strategy by Moskowtiz, Ooi, Pedersen, 2011.
Hotel Modelling
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45
Predicting Hotel Cancellations and ADR with machine learning. Classification, regression, time series analysis.
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