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281 search results found

Awesome Conformal Prediction ⭐ 3,097

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Data Science Roadmap ⭐ 2,445

Data Science Roadmap from A to Z

Ml Foundations ⭐ 2,224

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Hackermath ⭐ 1,339

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

Dsb2017 ⭐ 1,210

The solution of team 'grt123' in DSB2017

Distribution Is All You Need ⭐ 850

The basic distribution probability Tutorial for Deep Learning Researchers

Emotion Recognition ⭐ 693

Real time emotion recognition

Wtte Rnn ⭐ 580

WTTE-RNN a framework for churn and time to event prediction

Stats Maths With Python ⭐ 492

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Pytorch Flows ⭐ 444

PyTorch implementations of algorithms for density estimation

Basic Mathematics For Machine Learning ⭐ 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 is a Python module on finite regular Markov chains.

Probnum ⭐ 407

Probabilistic Numerics in Python.

Rpg_public_dronet ⭐ 327

Code for the paper Dronet: Learning to Fly by Driving

Windrose ⭐ 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 ⭐ 312

Transformer implemented in Keras

Reliability ⭐ 282

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

Cellrank ⭐ 279

CellRank: dynamics from multi-view single-cell data

Nfl Elo Game ⭐ 270

Data and code for FiveThirtyEight's NFL game

Discrete Math Python Scripts ⭐ 263

Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera

Shendusuipian ⭐ 261

To know stats by heart

Problog ⭐ 251

ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.

Pytorch Classification Uncertainty ⭐ 235

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Pyfasttext ⭐ 229

Yet another Python binding for fastText

Deeplearningwithtf2.0 ⭐ 227

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

Fully Differentiable Deep Ndf Tf ⭐ 209

Fully differentiable deep-neural decision forest in tensorflow

Normalizing_flows ⭐ 202

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

Fenchel Young Losses ⭐ 182

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses

Python For Probability Statistics And Machine Learning 2e ⭐ 172

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

Python toolbox for sampling Determinantal Point Processes

C3d Keras ⭐ 159

C3D for Keras + TensorFlow

Multi Armed Bandit ⭐ 159

Play with the solutions to the multi-armed-bandit problem.

Data Scientist Books ⭐ 158

Data-Scientist-Books (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 ⭐ 154

Python Class created to address problems regarding Digital Marketing Attribution.

Pagerank ⭐ 141

A Python implementation of Larry's famous PageRank algorithm.

Machine Learning Imbalanced Data ⭐ 141

Code repository for the online course Machine Learning with Imbalanced Data

Py Image Dataset Generator ⭐ 139

Get a large image dataset with minimal effort by grabbing image through the web and generate new ones by image augmentation.

Likelihood-free AMortized Posterior Estimation with PyTorch

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

Epidemiology analysis package

Markov Chains and Hidden Markov Models in Python

Probflow ⭐ 108

A Python package for building Bayesian models with TensorFlow or PyTorch

Probabilistic Programming and Statistical Inference in PyTorch

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Mabalgs ⭐ 100

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Statistics And Probability In Python ⭐ 84

Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"

Neural networks for microbe-metabolite interaction analysis

Aleatory ⭐ 83

📦 Python library for Stochastic Processes Simulation and Visualisation

Adversarial Generation of Extreme Samples

Scikit Sos ⭐ 73

A Python implementation of the Stochastic Outlier Selection algorithm

Bayesian machine learning in Python

Deep Learningai ⭐ 61

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

All Of Statistics ⭐ 61

Solutions to Wasserman's 'All of Statistics'.

Pointer Networks ⭐ 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 ⭐ 60

A toy Python implementation of the Hidden Markov Model.

Undergraduate In Statistics ⭐ 59

Using Computer with your Statistics Major Course

Automatic segmentation of electron microscopy volumes

Time_series_data_mining ⭐ 58

TensorFlow Probability；Time series model

Open_nsfw ⭐ 57

API to classify images as SFW/NSFW.

Tools for an Aesara-based PPL.

Online Category Learning ⭐ 56

ML algorithm for real-time classification

Lm Diagnostics ⭐ 54

Diagnostic tests for linguistic capacities in language models

A Deep-learning based dOcking decoy eValuation mEthod

Conjugate_prior ⭐ 51

Implementation of the conjugate prior table for Bayesian Statistics

Episodic Lifelong Learning ⭐ 49

Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch

GM-PHD filter implementation in python (Gaussian mixture probability hypothesis density filter)

Datascience365 ⭐ 47

Charsplit ⭐ 45

Compound splitter for German

Keras Semantic Segmentation Example ⭐ 44

Example of semantic segmentation in Keras

Mathematics For Machine Learning And Data Science Specialization Coursera ⭐ 42

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Python implementation of the elgamal crypto system

Survival ⭐ 38

All kinds of survival analysis distributions and methods to optimize how long to wait for them.

Tablespoon ⭐ 38

🥄✨Time-series Benchmark methods that are Simple and Probabilistic

Python Machine Learning ⭐ 37

Python Machine Learning Algorithms

Data Science And Machine Learning Resources ⭐ 37

List of Data Science and Machine Learning Resource that I frequently use

Aggregate ⭐ 35

Tools for creating and working with aggregate probability distributions.

Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization

Introductiontoprobabilitypy ⭐ 34

Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition

Source code for the tutorial series at http://www.thoughtly.co/blog/prototype

Discretemarkovchain ⭐ 30

Calculate the steady state distribution of a discrete Markov chain in Python.

Decision Weights ⭐ 30

Homegrown analysis of Prospect Theory: Math, turkers and python =)

Torchlex ⭐ 30

Complex tensor and complex functions for pytorch.

Tmhmm.py ⭐ 30

A transmembrane helix finder in Python 3.

Doppelganger Finder ⭐ 29

Doppelganger-finder finds multiple accounts (doppelgangers) of a user.

Shallowneuraldecisionforest ⭐ 29

Implementation of Deep Neural Decision Forest based on MSR paper

Loopy Belief Propagation for Python

Hello_deep_learning ⭐ 28

Example scripts for various deep learning APIs.

Tensorflow Autoencoders ⭐ 27

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

probability & possibility

Mathifold ⭐ 27

Migrated to Tungsteno https://github.com/TungstenHub

Genetic Algorithm On K Means Clustering ⭐ 27

Implementing Genetic Algorithm on K-Means and compare with K-Means++

Numerically solve the Fokker-Planck equation in N dimensions

Git Get Merge ⭐ 26

A git command to find the merge that introduced a given commit.

Python Baseball Data and Analysis

Mathematics For Machine Learning And Data Science Specialization ⭐ 25

Non-credit online course by DeepLearning.AI

Poetic Inner Join ⭐ 25

Generative poetry from a recurrent neural network filtered by emotional and external influences.

Code for discriminative joint probability MMD (DJP-MMD)

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