The basic distribution probability Tutorial for Deep Learning Researchers
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Updated
Oct 1, 2020 - Python
The basic distribution probability Tutorial for Deep Learning Researchers
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
OMICRON VARIANT RNN & ML GEN PREDICTION (2 Separate Software) - Artificial Intelligence in Health
A .NET package for fitting curves to data using particle swarm optimization
Daily Neural Network Practice Season 3! ( Finishing up Masters)
Arabic math solver (Android) is a client-side Android application that has the ability to recognize and solve handwritten mathematical expressions in Arabic notation.
Easy math decimals for JS
A math library for Game Engines (Vector math to Sky models).
A simple implementation of Linear Regression using Gradient Descent in Python. Ideal for learning the fundamentals of linear regression and gradient descent without relying on external libraries.
Hey 👋 , Made Road-Map for ML ( Machine 🤖 Learning ) & DL ( Deep 🤖 Learning ) Learner .
Linear algebra is a branch of mathematics
📔 This deposit contains the calculation codes and the tool that I set up during the realization of my DEA(master's degree). This focuses on solving a system of partial differential equations with initial conditions and boundary conditions.
Sparse Mathematical Programming Format.
References For Learning Mechanism And Componets Of A Mechanical System
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