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281 search results found
Awesome Conformal Prediction
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3,097
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and opensource libraries.
Data Science Roadmap
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2,445
Data Science Roadmap from A to Z
Ml Foundations
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2,224
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Hackermath
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1,339
Introduction to Statistics and Basics of Mathematics for Data Science  The Hacker's Way
Dsb2017
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1,210
The solution of team 'grt123' in DSB2017
Distribution Is All You Need
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850
The basic distribution probability Tutorial for Deep Learning Researchers
Emotion Recognition
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693
Real time emotion recognition
Wtte Rnn
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580
WTTERNN a framework for churn and time to event prediction
Stats Maths With Python
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492
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Pytorch Flows
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444
PyTorch implementations of algorithms for density estimation
Basic Mathematics For Machine Learning
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418
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Pykov
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411
Pykov is a Python module on finite regular Markov chains.
Probnum
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407
Probabilistic Numerics in Python.
Rpg_public_dronet
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327
Code for the paper Dronet: Learning to Fly by Driving
Windrose
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318
A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
Keras Transformer
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312
Transformer implemented in Keras
Reliability
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282
Reliability engineering toolkit for Python  https://reliability.readthedocs.io/en/latest/
Cellrank
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279
CellRank: dynamics from multiview singlecell data
Nfl Elo Game
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270
Data and code for FiveThirtyEight's NFL game
Discrete Math Python Scripts
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263
Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
Shendusuipian
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261
To know stats by heart
Problog
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251
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
Pytorch Classification Uncertainty
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235
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Pyfasttext
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229
Yet another Python binding for fastText
Deeplearningwithtf2.0
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227
Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
Uqpy
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216
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Fully Differentiable Deep Ndf Tf
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209
Fully differentiable deepneural decision forest in tensorflow
Normalizing_flows
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202
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Fenchel Young Losses
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182
Probabilistic classification in PyTorch/TensorFlow/scikitlearn with FenchelYoung losses
Python For Probability Statistics And Machine Learning 2e
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172
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
Dppy
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168
Python toolbox for sampling Determinantal Point Processes
C3d Keras
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159
C3D for Keras + TensorFlow
Multi Armed Bandit
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159
Play with the solutions to the multiarmedbandit problem.
Data Scientist Books
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158
DataScientistBooks (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
Marketing Attribution Models
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154
Python Class created to address problems regarding Digital Marketing Attribution.
Pagerank
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141
A Python implementation of Larry's famous PageRank algorithm.
Machine Learning Imbalanced Data
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141
Code repository for the online course Machine Learning with Imbalanced Data
Py Image Dataset Generator
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139
Get a large image dataset with minimal effort by grabbing image through the web and generate new ones by image augmentation.
Lampe
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117
Likelihoodfree AMortized Posterior Estimation with PyTorch
Osdn
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114
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
Zepid
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111
Epidemiology analysis package
Mchmm
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109
Markov Chains and Hidden Markov Models in Python
Probflow
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108
A Python package for building Bayesian models with TensorFlow or PyTorch
Ptstat
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107
Probabilistic Programming and Statistical Inference in PyTorch
Gpnd
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106
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Mabalgs
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100
👤 MultiArmed Bandit Algorithms Library (MAB) 👮
Statistics And Probability In Python
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84
Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
Mmvec
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84
Neural networks for microbemetabolite interaction analysis
Aleatory
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83
📦 Python library for Stochastic Processes Simulation and Visualisation
Exgan
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74
Adversarial Generation of Extreme Samples
Scikit Sos
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73
A Python implementation of the Stochastic Outlier Selection algorithm
Pylearn
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72
Bayesian machine learning in Python
Baycomp
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66
Deep Learningai
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61
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
All Of Statistics
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61
Solutions to Wasserman's 'All of Statistics'.
Pointer Networks
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60
Pointer Networks is a new neural architecture to learn the conditional probability of an output sequence with elements that are discrete tokens corresponding to positions in an input sequence.
Pythonhmm
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60
A toy Python implementation of the Hidden Markov Model.
Undergraduate In Statistics
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59
Using Computer with your Statistics Major Course
Gala
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59
Automatic segmentation of electron microscopy volumes
Time_series_data_mining
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58
TensorFlow Probability；Time series model
Open_nsfw
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57
API to classify images as SFW/NSFW.
Aeppl
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56
Tools for an Aesarabased PPL.
Online Category Learning
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56
ML algorithm for realtime classification
Lm Diagnostics
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54
Diagnostic tests for linguistic capacities in language models
Dove
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52
A Deeplearning based dOcking decoy eValuation mEthod
Conjugate_prior
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51
Implementation of the conjugate prior table for Bayesian Statistics
Episodic Lifelong Learning
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49
Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
Gmphd
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48
GMPHD filter implementation in python (Gaussian mixture probability hypothesis density filter)
Datascience365
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47
DataScience365
Charsplit
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45
Compound splitter for German
Keras Semantic Segmentation Example
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44
Example of semantic segmentation in Keras
Mathematics For Machine Learning And Data Science Specialization Coursera
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42
Mathematics for Machine Learning and Data Science Specialization  Coursera  deeplearning.ai  solutions and notes
Elgamal
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40
Python implementation of the elgamal crypto system
Survival
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38
All kinds of survival analysis distributions and methods to optimize how long to wait for them.
Tablespoon
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38
🥄✨Timeseries Benchmark methods that are Simple and Probabilistic
Python Machine Learning
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37
Python Machine Learning Algorithms
Data Science And Machine Learning Resources
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37
List of Data Science and Machine Learning Resource that I frequently use
Aggregate
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35
Tools for creating and working with aggregate probability distributions.
Pop3d
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35
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
Scphere
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34
Introductiontoprobabilitypy
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34
Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
Mlblog
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33
Source code for the tutorial series at http://www.thoughtly.co/blog/prototype
Discretemarkovchain
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30
Calculate the steady state distribution of a discrete Markov chain in Python.
Decision Weights
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30
Homegrown analysis of Prospect Theory: Math, turkers and python =)
Torchlex
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30
Complex tensor and complex functions for pytorch.
Tmhmm.py
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30
A transmembrane helix finder in Python 3.
Doppelganger Finder
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29
Doppelgangerfinder finds multiple accounts (doppelgangers) of a user.
Shallowneuraldecisionforest
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29
Implementation of Deep Neural Decision Forest based on MSR paper
Pylbp
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29
Loopy Belief Propagation for Python
Hello_deep_learning
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28
Example scripts for various deep learning APIs.
Tensorflow Autoencoders
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27
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
E0
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27
probability & possibility
Mathifold
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27
Migrated to Tungsteno https://github.com/TungstenHub
Genetic Algorithm On K Means Clustering
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27
Implementing Genetic Algorithm on KMeans and compare with KMeans++
Fplanck
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26
Numerically solve the FokkerPlanck equation in N dimensions
Git Get Merge
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26
A git command to find the merge that introduced a given commit.
Pybbda
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26
Python Baseball Data and Analysis
Mathematics For Machine Learning And Data Science Specialization
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25
Noncredit online course by DeepLearning.AI
Poetic Inner Join
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25
Generative poetry from a recurrent neural network filtered by emotional and external influences.
Jpda
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25
Code for discriminative joint probability MMD (DJPMMD)
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