Probability Open Source Projects

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Bayesian Modeling and Probabilistic Programming in Python

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

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

Probabilistic reasoning and statistical analysis in TensorFlow

Data Science Roadmap from A to Z

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

Interactive Tools for Machine Learning, Deep Learning and Math

Stand-alone language identification system

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

:orange_book: The probability and statistics cookbook

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

A visual introduction to probability and statistics.

The basic distribution probability Tutorial for Deep Learning Researchers

Scalable Bloom Filter implemented in Python

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

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

The solution of team 'grt123' in DSB2017

Self-study on Larry Wasserman's "All of Statistics"

Real time emotion recognition

An excerpt from our financial valuation model of Tesla

A Julia package for probability distributions and associated functions.

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

Teaching Materials for Dr. Waleed A. Yousef

Courses, Articles and many more which can help beginners or professionals.

Quantitative Interview Preparation Guide, updated version here ==>

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

A toy chatbot powered by deep learning and trained on data from Reddit

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

Perceptions of Probability and Numbers

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

PyTorch CTC Decoder bindings

Algorithm is a library of tools that is used to create intelligent applications.

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Idiomatic statistical operators for Kotlin

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

Multivariate & A/B Testing for iOS and Mac

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

Bitmap generation from a single example with convolutions and MCMC

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

Natural Language Processing in Clojure (opennlp)

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

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

(Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

A node.js "that's what she said" classifier

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

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

A small program to detect gibberish using a Markov Chain

:ghost: Utilities for analyzing Bayesian models and posterior distributions

A C++ header-only library of statistical distribution functions.

Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.

Your no-nonsense guide to the Math used in Artificial Intelligence

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

Python Nanoid

Generate realizations of stochastic processes in python.