Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+728.26%)
Math PhpPowerful 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
Stars: ✭ 2,009 (+4267.39%)
Mathematics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
Stars: ✭ 417 (+806.52%)
StochasticGenerate realizations of stochastic processes in python.
Stars: ✭ 198 (+330.43%)
symbolic-pymcTools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
Stars: ✭ 58 (+26.09%)
PtstatProbabilistic Programming and Statistical Inference in PyTorch
Stars: ✭ 108 (+134.78%)
data-science-notesOpen-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Stars: ✭ 52 (+13.04%)
wink-statisticsFast & numerically stable statistical analysis
Stars: ✭ 36 (-21.74%)
TeachingTeaching Materials for Dr. Waleed A. Yousef
Stars: ✭ 435 (+845.65%)
lm-scorer📃Language Model based sentences scoring library
Stars: ✭ 264 (+473.91%)
Basic Mathematics For Machine LearningThe 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
Stars: ✭ 300 (+552.17%)
Quant NotesQuantitative Interview Preparation Guide, updated version here ==>
Stars: ✭ 180 (+291.3%)
Probability TheoryA quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
Stars: ✭ 25 (-45.65%)
blangSDKBlang's software development kit
Stars: ✭ 21 (-54.35%)
UQpyUQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Stars: ✭ 117 (+154.35%)
FlexProbabilistic deep learning for data streams.
Stars: ✭ 127 (+176.09%)
Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
Stars: ✭ 23 (-50%)
AbacusAdvanced Combinatorics and Algebraic Number Theory Symbolic Computation library for JavaScript, Python
Stars: ✭ 16 (-65.22%)
xorfXor filters - efficient probabilistic hashsets. Faster and smaller than bloom and cuckoo filters.
Stars: ✭ 64 (+39.13%)
markovipyYet another markov chain sentence generator
Stars: ✭ 24 (-47.83%)
Quant Finance ResourcesCourses, Articles and many more which can help beginners or professionals.
Stars: ✭ 36 (-21.74%)
AlgorithmAlgorithm is a library of tools that is used to create intelligent applications.
Stars: ✭ 787 (+1610.87%)
PynomalyAnomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Stars: ✭ 238 (+417.39%)
discrete-math-python-scriptsPython code snippets from Discrete Mathematics for Computer Science specialization at Coursera
Stars: ✭ 98 (+113.04%)
Normalizing flowsPytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Stars: ✭ 356 (+673.91%)
StatsA C++ header-only library of statistical distribution functions.
Stars: ✭ 292 (+534.78%)
QuantumLattices.jlJulia package for the construction of quantum lattice systems.
Stars: ✭ 79 (+71.74%)
Stat Cookbook📙 The probability and statistics cookbook
Stars: ✭ 1,990 (+4226.09%)
Awesome-Math-Learning📜 Collection of the most awesome Math learning resources in the form of notes, videos and cheatsheets.
Stars: ✭ 73 (+58.7%)
Fluent-Random-PickerFluent Random Picker is a nice, performant, fluent way to pick random values. Probabilities can be specified, values can be weighted.
Stars: ✭ 26 (-43.48%)
TensorFlow-AutoencodersImplementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Stars: ✭ 29 (-36.96%)
PyImpetusPyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
Stars: ✭ 83 (+80.43%)
LuminescenceDevelopment of the R package 'Luminescence'
Stars: ✭ 13 (-71.74%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (+143.48%)
probabilidadProbabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir
Stars: ✭ 135 (+193.48%)
geostanBayesian spatial analysis
Stars: ✭ 40 (-13.04%)
CeramistVerified hash-based AMQ structures in Coq
Stars: ✭ 107 (+132.61%)
ml-compiledQuick definitions and intuitive explanations around machine learning.
Stars: ✭ 29 (-36.96%)
KelvinA powerful language for symbolic computation written in Swift.
Stars: ✭ 23 (-50%)
SciLeanScientific computing in Lean 4
Stars: ✭ 86 (+86.96%)
fattailsCode and Notes for fat-tailed statistics.
Stars: ✭ 41 (-10.87%)
kanrenAn extensible, lightweight relational/logic programming DSL written in pure Python
Stars: ✭ 111 (+141.3%)
flowtorch-oldSeparating Normalizing Flows code from Pyro and improving API
Stars: ✭ 36 (-21.74%)
Dnest4Diffusive Nested Sampling
Stars: ✭ 49 (+6.52%)