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10 search results found

Deeplearning4j ⭐ 13,397

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 learning using automatic differentiation.

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

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

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

Tutorials ⭐ 847

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

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.

Cython Blis ⭐ 204

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

L1: Tensor Studio — The playground for tensors

The V Tensor Library

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

GPU tensor framework with support for running ONNX models

Shape Recognition ⭐ 20

Neural Network to detect 2D shapes

Coursera Imperial College Of London Mathematics For Machine Learning Specialization ⭐ 16

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

Deeplearninghandbook ⭐ 12

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

Neuralnetwork ⭐ 11

This java library is used for generating, training, and using artificial neural networks with linear algebra. Uses feed forward nets, with backpropagation learning algorithm.

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

Cheatsheets ⭐ 7

Here you find CheatSheets for Data Science Topics

Albiruniml ⭐ 7

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

Hessianfree ⭐ 7

On the New method of Hessian-free second-order optimization

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