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96 search results found

100 Days Of Ml Code ⭐ 42,417

100 Days of ML Coding

Mit Deep Learning Book Pdf ⭐ 11,564

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Numerical Linear Algebra ⭐ 9,850

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

From 0 To Research Scientist Resources Guide ⭐ 6,443

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

Smile ⭐ 5,833

Statistical Machine Intelligence & Learning Engine

Start Machine Learning ⭐ 4,062

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

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

Owl - OCaml Scientific Computing @ https://ocaml.xyz

Arraymancer ⭐ 1,177

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Tiramisu ⭐ 872

A polyhedral compiler for expressing fast and portable data parallel algorithms

Tutorials ⭐ 847

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Teaching ⭐ 802

Teaching Materials for Dr. Waleed A. Yousef

Vectorious ⭐ 781

Linear algebra in TypeScript.

Linear Algebra for Java

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Armadillo Code ⭐ 439

Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net

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

Michael S Data Science Curriculum ⭐ 381

This is the companion curriculum to my guide to becoming a data scientist.

The Math Of Intelligence ⭐ 379

List of resources & possible pathway for the Math of Machine Learning and AI.

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

100daysofmlcode ⭐ 302

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

Awesome Maths Learning ⭐ 269

😎 📜 Collection of the most awesome Maths learning resources in the form of notes, videos and cheatsheets.

Machine Learning Curriculum ⭐ 248

Complete path for a beginner to become a Machine Learning Scientist!

Set of examples of ML approaches implemented in C++

Awesomemlmath ⭐ 212

Curated list to learn the math basics for machine learning

Mathematics For Machine Learning Coursera ⭐ 201

quizzes/assignments for mathematics for machine learning specialization on coursera

A library and extension that provides objects for scientific computing in PHP.

The Books Making You Better ⭐ 169

A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.

Numerix ⭐ 162

A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning

Scientific computing in pure Crystal

The V Tensor Library

Foundry ⭐ 125

The Cognitive Foundry is an open-source Java library for building intelligent systems using machine learning

Sparse matrix formats for linear algebra supporting scientific and machine learning applications

Awesome Machine Learning Deep Learning Mathematics ⭐ 110

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

Xitorch ⭐ 108

Differentiable scientific computing library

Quant Notes ⭐ 101

Quantitative Interview Preparation Guide, updated version here ==>

Quant Finance Resources ⭐ 95

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

Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.

Data Science Notes ⭐ 75

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Ml_linalg ⭐ 66

SIMD-based linear algebra and statistics for data science with dart

NASOQ:Numerically Accurate Sparsity Oriented QP Solver

👩‍💻 Matrix and other math, accelerated by WebGPU and WASM

Accelerated machine learning with dependent types

Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.

Mathematics For Machine Learning And Data Science Specialization Coursera ⭐ 42

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

core C++ library

Pyarmadillo ⭐ 37

PyArmadillo: an alternative approach to linear algebra in Python

Learn Machine Learning In 3 Month ⭐ 34

Anki Decks ⭐ 33

This is a collection of flashcard decks created for classes at Karlsruhe Institute of Technology.

Mathematics_for_machine_learning ⭐ 32

Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.

Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifford Algebra, Multidimensional Data Analysis, Geometric Median, Hulls, Machine Learning, multithreading implementation...

Mathematics_for_machine_learning ⭐ 28

Notes and step-by-step exercises resolution to aid students learning the base math for machine learning. Content summed up from the the course from the Imperial London College in Coursera.

Mathematics For Machine Learning And Data Science Specialization ⭐ 25

Non-credit online course by DeepLearning.AI

🌎 Review materials for bioinformatics, computational biology, and science in general

Ml Knowledge Graph ⭐ 23

Organizing concepts related to machine learning and artificial intelligence

Python+Rust implementation of the Probabilistic Principal Component Analysis model

Linear Algebra and Statistics library for Scala.js, JVM, and Native.

Bandicoot Code ⭐ 21

Bandicoot: C++ library for GPU linear algebra & scientific computing - https://coot.sourceforge.io

Shapesafe ⭐ 20

SHAPE/S∀F∃: static prover/type-checker for N-D array programming in Scala, a use case of intuitionistic type theory

Backwardslinalg.jl ⭐ 20

Auto differentiation over linear algebras (a Zygote extension)

Julia Data Science ⭐ 20

Data science and numerical computing with Julia

Foundations of Machine Learning Course Materials.

Ai Resource ⭐ 18

Collection of resources for AI

Tensorforth ⭐ 17

Forth does tensors, in CUDA.

A stand-alone pure Java library for linear algebra and machine learning

Data Science Beginners Guide ⭐ 17

📊A Beginner's Guide To Data Science. 📈 📉Start your self-learning journey into the world of data right now.

Readings_mldb ⭐ 15

Paper list about adopting machine learning techniques into data management tasks.

Launchpad ⭐ 14

Resources to get started in Quantum Computing!

Book La Demo ⭐ 14

Demos for "Linear Algebra for DS, ML, and SP" book

Math App Ml ⭐ 13

Essential mathematics for applied machine learning and data science

Numerics ⭐ 12

library of numerical methods using Armadillo

Mathematics For Machine Learning Linear Algebra ⭐ 12

Math For Ml ⭐ 12

Mathematical preliminaries for machine learning

Deeplearninghandbook ⭐ 12

Lecture Slides and Programming Exercises that may help study the deep learning book by Goodfellow, Bengio and Courville.

Ds Scriptsnook ⭐ 11

🎊One Stop Destination to get acquainted with scripts in Data Science. Turn yourself into a pro. Show your support by ✨ this repository.

Various Data Science Scripts ⭐ 10

A collection of coding scripts, notes, and mini-projects with reference to a series of Data Science, Web Development, programming concepts and foundations, and miscellaneous tech topics.

Numerical Optimization Machine Learning ⭐ 9

Codes for popular numerical optimization methods and machine learning algorithms

Machine Learning Lecture Notes ⭐ 9

Lecture notes and codes for machine learning

Hypemaths ⭐ 8

A extensible and easy way for advanced maths and its implementation in python!

Forest Fire Predictor ⭐ 8

Predict the damage done by forest fires using Deep Learning.

Linear_algebra ⭐ 8

Linear Algebra documentaion and resource details

Blackcat_tensors ⭐ 8

Matrix-Vector Library Designed for Neural Network Construction. cuda (gpu) support, openmp (multithreaded cpu) support, partial support of BLAS, expression template based implementation PTX code generation identical to hand written kernels, and support for auto-differentiation

A stand-alone pure C++ library for linear algebra and machine learning

Albiruniml ⭐ 7

AlbiruniML is a linear algebra and machine learning library written in pure c# language inspired from tensorflow

Linear Algebra For Deeplearning ⭐ 7

Linear Algebra for Deep Learning

Numerical Linear Algebra ⭐ 7

A course on Linear Algebra using Python in Jupyter notebooks

Introduction To Data Analyst And Data Science ⭐ 6

Introduction to Data Analyst and Data Science for Beginners

Haskell Numeric Library (Pure Functional, MATLAB & R Syntax)

Mathematics For Machine Learning And Data Science Specialization ⭐ 5

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.

Fundamentals ⭐ 5

During my research, I happen to enjoy implementing algorithms from scratch. Through Fundamentals, I like to share my experiences with others.

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