discrete-math-python-scriptsPython code snippets from Discrete Mathematics for Computer Science specialization at Coursera
Stars: ✭ 98 (+38.03%)
Awesome-Math-Learning📜 Collection of the most awesome Math learning resources in the form of notes, videos and cheatsheets.
Stars: ✭ 73 (+2.82%)
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 (+2729.58%)
combiPythonic package for combinatorics
Stars: ✭ 51 (-28.17%)
Hecke.jlComputational algebraic number theory
Stars: ✭ 142 (+100%)
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 (+487.32%)
RcppAlgosTool for Solving Problems in Combinatorics and Computational Mathematics
Stars: ✭ 31 (-56.34%)
competitive-programmingThis is my collection of various algorithms and data structures that I feel that are needed frequently in competitive programming .
Stars: ✭ 30 (-57.75%)
graphi🌠 An interactive network analysis & visualization tool
Stars: ✭ 20 (-71.83%)
Coursera Data Structures and Algorithms SpecializationMy solution to Data Structures and Algorithms Specialization (Algorithmic Toolbox; Data Structures; Algorithms on Graphs; Algorithms on Strings; Advanced Algorithms and Complexity; Genome Assembly Programming Challenge)
Stars: ✭ 32 (-54.93%)
Graphs.jlAn optimized graphs package for the Julia programming language
Stars: ✭ 197 (+177.46%)
combinateCombinatorics generator for JavaScript and Typescript.
Stars: ✭ 20 (-71.83%)
algo-on-graphsAlgorithms in Graph Theory written in Java, C++, and Python
Stars: ✭ 94 (+32.39%)
MLOps-Specialization-NotesNotes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
Stars: ✭ 143 (+101.41%)
stanford-algorithms-specializationProblem Set and Programming Assignment Solutions to Stanford University's Algorithms Specialization on Coursera & edX
Stars: ✭ 43 (-39.44%)
xorfXor filters - efficient probabilistic hashsets. Faster and smaller than bloom and cuckoo filters.
Stars: ✭ 64 (-9.86%)
UQpyUQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Stars: ✭ 117 (+64.79%)
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 (-26.76%)
LightGraphs.jlAn optimized graphs package for the Julia programming language
Stars: ✭ 680 (+857.75%)
ml-compiledQuick definitions and intuitive explanations around machine learning.
Stars: ✭ 29 (-59.15%)
JSageSomething like Sage, but for the WebAssembly and JavaScript world.
Stars: ✭ 23 (-67.61%)
CatKitGeneral purpose tools for high-throughput catalysis
Stars: ✭ 48 (-32.39%)
Graph-TheoryA workshop about implementing graph theory with Neo4j
Stars: ✭ 70 (-1.41%)
series-formellesTranslation of, and commentary on, Joyal's classic paper "Une théorie combinatoire des séries formelles" (A combinatorial theory of formal series)
Stars: ✭ 24 (-66.2%)
TensorFlow-AutoencodersImplementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Stars: ✭ 29 (-59.15%)
probabilidadProbabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir
Stars: ✭ 135 (+90.14%)
Coursera-CertificationsA repository to showcase my completed courses on the Coursera platform.
Stars: ✭ 20 (-71.83%)
Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
Stars: ✭ 23 (-67.61%)
Robotics--CourseraCourses by University of Pennsylvania via Coursera
Stars: ✭ 48 (-32.39%)
combinatoricslibCombinatorial Objects Generators for Java 7+.
Stars: ✭ 83 (+16.9%)
grimgrim brings property graphs to the Nim language. Look around you: everything is a graph!
Stars: ✭ 44 (-38.03%)
NLP-SpecializationNLP Specialization (Natural Language Processing) made by deeplearning.ai
Stars: ✭ 44 (-38.03%)
Graph-AlgorithmsEverything you need to know about graph theory to ace a technical interview 🔥
Stars: ✭ 87 (+22.54%)
kaliningraph🕸️ Graphs, finite fields and discrete dynamical systems in Kotlin
Stars: ✭ 62 (-12.68%)
wink-statisticsFast & numerically stable statistical analysis
Stars: ✭ 36 (-49.3%)
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 (+16.9%)
markovipyYet another markov chain sentence generator
Stars: ✭ 24 (-66.2%)
sre📚 Index for my study topics
Stars: ✭ 47 (-33.8%)
d3-force-surfaceA multi-surface elastic collision force type for the d3-force simulation engine
Stars: ✭ 19 (-73.24%)
grblasPython wrapper around GraphBLAS
Stars: ✭ 22 (-69.01%)
EzResonAn efficient toolkit for chemical resonance analysis based on quantum chemistry calculations. It implements the quantitative theory of resonance by expansion of the wave function from a DFT/HF calculation in terms of those of the Lewis structures.
Stars: ✭ 14 (-80.28%)
TeamReferenceTeam reference for Competitive Programming. Algorithms implementations very used in the ACM-ICPC contests. Latex template to build your own team reference.
Stars: ✭ 29 (-59.15%)
typedbTypeDB: a strongly-typed database
Stars: ✭ 3,152 (+4339.44%)