Popular GitHub Repositories for Calculus

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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

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

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

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

Reasoning Computers. Lambda Calculus, Fully Differentiable. Also Neural Stacks, Queues, Arrays, Lists, Trees, and Latches.

Sending the lambda calculus into deep space

Mathematics paper recapitulating the calculus behind a neural network and its back propagation

Computer Algebra System (CAS) for Obsidian.md

Automatic Functional Differentiation in JAX

Causing: CAUsal INterpretation using Graphs

Organizing concepts related to machine learning and artificial intelligence

A curated collection of books, notes, and resources focused on mathematical foundations for machine learning, covering linear algebra, calculus, and probability. Includes summaries, practice problems, and references to enhance understanding for ML practitioners.

A open source book covering the foundational maths of deep learning and machine learning using TensorFlow

Coursera - Mathematics for Machine Learning and Data Science Specialization - DeepLearning.ai

Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equations.

Visualizations of music semantics calculus using Spotify and deep embeddings.

Automatic Differentiation Library

Machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization. This course aims to help you learn some essential foundational concepts and the notation used to express them.