100 Days of ML Coding
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Updated
Dec 29, 2023
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 learn...
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
Book_4_《 Ma trận lực lượng 》 | hoa diên vĩ thư: Từ tăng giảm thặng dư đến máy móc học tập; thượng giá!
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Book_3_《 toán học yếu tố 》 | hoa diên vĩ thư: Từ tăng giảm thặng dư đến máy móc học tập; thượng giá; hoan nghênh tiếp tục sửa sai, sửa sai nhiều đồng học còn sẽ có tặng thư!
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 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", tuyến tính đại số nghệ thuật tiếng Trung bản, hoan nghênh PR.
Math.NET Numerics
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Data Science Roadmap from A to Z
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
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…
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