100 Days of ML Coding
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Updated
Jul 25, 2022
100 Days of ML Coding
A collection of algorithms and data structures
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Statistical Machine Intelligence & Learning Engine
A library for visualization and creative-coding
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Math.NET Numerics
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
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assis…
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
BLAS-like Library Instantiation Software Framework
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
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