#
probability
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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
finance
statistics
algebra
math
information-theory
vector
matrix
linear-algebra
probability
mathematics
regression
combinatorics
number-theory
numerical-analysis
distributions
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Sep 16, 2020 - PHP
The basic distribution probability Tutorial for Deep Learning Researchers
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Sep 7, 2019 - Python
Algorithm is a library of tools that is used to create intelligent applications.
swift
set
algorithm
data-structure
stack
algorithms
dictionary
probability
data-structures
multiset
swift-3
probabilistic-programming
redblacktree
redblacktrees
data-structures-algorithms
cosmicmind
doublylinkedlist
multidictionary
conditional-probability
sorted-sets
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Jan 17, 2020 - Swift
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
python
machine-learning
statistics
books
book
probability
jupyter-notebook
statistical-learning
statistical-analysis
statistical-tests
probability-theory
statistics-course
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Nov 6, 2019 - Jupyter Notebook
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
matrix
probability
particle-filter
graph-theory
numerical-optimization
backpropagation
kalman-filter
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Sep 12, 2020 - MATLAB
Teaching Materials for Dr. Waleed A. Yousef
computer-science
data-science
machine-learning
statistics
programming
optimization
linear-algebra
probability
mathematics
statistical-learning
image-processing
data-visualization
data-structures
discrete-mathematics
pattern-recognition
statistical-models
digital-design
logic-design
analysis-of-algorithms
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Aug 27, 2020 - Mathematica
To know stats by heart
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May 12, 2019 - HTML
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
python
data-science
machine-learning
statistics
analytics
clustering
numpy
probability
mathematics
pandas
scipy
matplotlib
inferential-statistics
hypothesis-testing
anova
statsmodels
bayesian-statistics
numerical-analysis
normal-distribution
mathematical-programming
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Aug 3, 2020 - Jupyter Notebook
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
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Jan 21, 2020 - Python
A C++ header-only library of statistical distribution functions.
statistics
cpp
constexpr
probability
eigen
openmp
quantile
cpp11
stats
armadillo
cdf
numerical-methods
blaze
distributions
eigen3
armadillo-library
density-functions
quantile-functions
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Sep 5, 2020 - C++
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
machine-learning
probability
outliers
outlier-detection
nearest-neighbors
anomaly-detection
outlier-scores
anomalies
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Sep 17, 2020 - Python
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
python
machine-learning
statistics
ai
calculus
algebra
notebook
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probability
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siraj
mathematical-functions
prerequisites
siraj-raval
machinelearning-python
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Jan 6, 2020 - Jupyter Notebook
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
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Sep 9, 2020
Generate realizations of stochastic processes in python.
probability
stochastic
stochastic-differential-equations
stochastic-processes
stochastic-simulation-algorithm
stochastic-volatility-models
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Jul 3, 2020 - Python
xxxnell
commented
Jan 18, 2019
Quantitative Interview Preparation Guide, updated version here ==>
finance
machine-learning
statistics
calculus
optimization
topic
linear-algebra
probability
quant
interview-questions
quantitative-finance
numerical-methods
coding-interviews
strategies
quantitative-trading
theorem
interview-preparation
machine-learning-concepts
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Mar 23, 2019 - Jupyter Notebook
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
machine-learning
algorithm
deep-learning
static-analysis
linear-algebra
probability
mathematics
gradient-descent
approximation-algorithms
machine-learning-mathematics
deep-learning-mathematics
advanced-probability
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Aug 11, 2017
Probabilistic Programming and Statistical Inference in PyTorch
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Jul 4, 2017 - Python
Verified hash-based AMQ structures in Coq
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Apr 13, 2020 - Coq
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
pdf
machine-learning
deep-neural-networks
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probability
pytorch
generative-adversarial-network
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anomaly-detection
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adversarial-autoencoders
aae
novelty-detection
nips-2018
deep-novelty-detection
novelty-detector
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Mar 26, 2020 - Python
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Sep 1, 2020 - HTML
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May 23, 2020 - TeX
Solutions to Wasserman's 'All of Statistics'.
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May 7, 2019 - Jupyter Notebook
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Sep 2, 2020 - Python
python
learning
intelligence
statistics
ai
neural-network
tensorflow
svm
machine
projects
probability
coursera
deep
ng
artificial
networks
activities
neural
andew
relu
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Apr 23, 2018 - Jupyter Notebook
Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir
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May 9, 2020 - HTML
Using Computer with your Statistics Major Course
statistics
calculus
optimization
linear-regression
linear-algebra
probability
jupyter-notebook
mathematics
python3
bayes
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Jun 17, 2020 - Jupyter Notebook
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I found several useful applications of pseudo-random number sampling in the past. In particular:
(This issue serves a reminder to add the respective methods. Pull requests always welcome.)