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Search results for python statistical models
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statistical-models
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39 search results found
Spacy Models
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1,429
💫 Models for the spaCy Natural Language Processing (NLP) library
Patsy
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909
Describing statistical models in Python using symbolic formulas
Linearmodels
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839
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Flame_pytorch
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444
This is a implementation of the 3D FLAME model in PyTorch
Tf_flame
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339
Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.
Predictive Horizontal Pod Autoscaler
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301
Horizontal Pod Autoscaler built with predictive abilities using statistical models
Coronavirus Epidemic Covid 19
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232
👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
Convoys
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228
Implementation of statistical models to analyze time lagged conversions
Muda
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182
A library for augmenting annotated audio data
Appelpy
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124
Applied Econometrics Library for Python
Msmbuilder
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124
🏗️ Statistical models for biomolecular dynamics 🏗️
Python Mle
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94
A Python package for performing Maximum Likelihood Estimates
Django Ai
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69
Artificial Intelligence for Django
Pydtmc
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68
A library for discrete-time Markov chains analysis.
Etas
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67
calibrate ETAS, simulate using ETAS, estimate completeness magnitude & magnitude frequency distribution
Conjugate_prior
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51
Implementation of the conjugate prior table for Bayesian Statistics
Pyforecast
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27
PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.
Ml Data Bot
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21
Chatbot which helps you to get important statistics from the data to get insights to build Machine learning, Deep learning and Statistical models
Nce Loss
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18
Tensorflow NCE loss in Keras
Swan
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13
Statistical models to predict new materials
Borg
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12
The borg algorithm portfolio platform.
Gsum
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12
A Bayesian model of series convergence using Gaussian sums
Pystatsmodels
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11
Python module for descriptive statistics and estimation of statistical models
Svinfer
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11
The FORT team has released differentially private Condor data to external researchers in H1 2020. It is known that analyzing DP data via classic statistical models will lead to biased conclusions. We are releasing at-scale statistical models which provide valid inference from DP data.
Cegpy
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10
Cegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.
Generalized Additive Models
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10
Generalized Additive Models in Python.
Keyphraseextraction
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9
Keyphrase Extraction Review
Bayesian Modeling
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9
Case studies with Bayesian methods
Pymb
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8
Python Model Builder - fit statistical models using algorithmic differentiation
Goftests
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8
Generic goodness of fit tests for random plain old data
Tseuler
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7
A library for Time-Series exploration, analysis & modelling.
Riskpy
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7
riskpy: usefull tools for risk analysts and not only
Machine Learning
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7
Fundamentals & projects
Statlab
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7
This Python 3.5+ allows to calculate all required statistical models including but not limited to: feature selection, risks calculation, volatility models, Monte Carlo simulations
Islp
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6
Python codes for the book, An Introduction to Statistical Learning with Applications in R (ISLR)
Risk_calculation_using_backward_elimination_algorithm_in_life_insurance
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6
Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.
Statsmodels_json
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6
Lok Sabha Election Twitter Analysis
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5
Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University.
Velh Ia
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5
Artificial Collective consciousness: A New Way To Study, Learn and Have A Fun!
Pystatis
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5
Python implementation of STATIS for analysis of several data tables
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