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Search results for jupyter notebook mathematics
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Homemade Machine Learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Companion webpage to the book "Mathematics For Machine Learning"
Data Science Notes
Machine Learning Mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Linear Algebra With Python
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 assistance of Python computation and visualization.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Awesome Ai Books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
CoCalc: Collaborative Calculation in the Cloud
Deep Learning Book Chapter Summaries
Attempting to make the Deep Learning Book easier to understand.
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
New open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
Ipython notebooks for math and finance tutorials
Code / solutions for Mathematics for Machine Learning (MML Book)
Stats Maths With Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
A curated list of Best Artificial Intelligence Resources
Basic Mathematics For Machine Learning
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
📚 适合前端入门的高数课，临时域名 https://math.haozi.me
This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
Machine Learning algorithms implemented from scratch
Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.
Math Formula Recognition
Math formula recognition (Images to LaTeX strings)
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
Intro To Dsp With Python
quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
Ml From Scratch
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
Proving Ground: Tools for Automated Mathematics
This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube
Machinelearning Deeplearning Code For My Youtube Channel
The full collection of all codes for my Youtube Channel segregated as per topic.
Lecture Source Py
Source files for "Lectures in Quantitative Economics" -- Python version
Small projects to clarify big concepts
Discrete Math Python Scripts
Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube
This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube
BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
(Still exploring) My cryptography journey: A collection of notebooks covering different algorithms and concepts from cryptography
A collection of code examples as well as presentations for training purposes
This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube
This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube
Course notes for Data Science related topics, prepared in LaTeX
This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
Kalman Filter For Sensor Fusion
A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain
R Place Blender
Tools for r/Place data visualization with Blender and Python
📓 A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc
Chapter programs/snippets and Solutions to Challenges
Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning
Computer Vision Notebooks
👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.
Python Mathematics Handbook
A set of notebooks for an introduction to Python for Mathematicians.
My Attempt(s) In The World Of ML/DL....
This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
This is the code for "Random Forests - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube
This is the code for "Logistic Regression - The Math of Intelligence (Week 2)" By SIraj Raval on Youtube
Machine Learning Notebooks
🤖 An authorial set of fundamental python recipes on Machine Learning and Artificial Intelligence.
Virtual Math Lab
Amusive Blogging N Coding
Open source code from the blog posts at
Estimation of the lead-lag parameter from non-synchronous data.
Mathematics Of Deep Learning
The Mathematics of Deep Learning, SIPB IAP 2018
Mathematical Methods In Deep Learning Ipython
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
Coursera Mathematics For Ml
Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.
Maths With Python
Complete Guide To Deep Learning
This guide is for those who know some math, know some programming language and now want to dive deep into deep learning
Introduction To Discrete Mathematics For Computer Science Specialization
[Coursera] Introduction to Discrete Mathematics for Computer Science Specialization
Various notes and solutions on Math and Physics (and Mathematical Physics)
Undergraduate In Statistics
Using Computer with your Statistics Major Course
This is the Code for "How Do I Find the Best Hyperparameters?- The Math of Intelligence #7" By Siraj Raval on Youtube
Lecture slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization
Deep Learning Bootcamp
Front end to powerful mathematics and statistics packages
Aalto University's Intelligent Computational Media course (AI & ML for media, art & design)
Lightweight markup language - Document Once
Mathematics For Machine Learning
A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematics essential to understanding machine learning.
Basic Statistics With Python
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
My publications on Medium
This is the Code for "Generative Models - The Math of Intelligence #8" By Siraj Raval on Youtube
α collection of resources for people interested in quant finance
Explorando aspectos fundamentais da matemática com Python e Jupyter
Python For Finance
Python for Finance module for Imperial MSc in Mathematics and Finance
Python package for Geometric / Clifford Algebra with TensorFlow
Building dynamical systems compositionally
Mlp Neural Network From Scratch
Tutorial detailing how to build a multilayer perceptron from scratch
library of useful Python code for scientific + technical applications
Recursos de Matemáticas en Código Facilito
This is the repository for Math 10 Intro to Programming for DataSci at UCI.
Official Repository of the Magnum Project
Take a julia `Expr` and render it as LaTeX. Deprecated in favour of https://github.com/korsbo/Latexify.jl
'math+econ+code' masterclass on equilibrium transport and matching models in economics
Artificial Intelligence Important Documents Collections
AI technology is significant because it allows software to do human functions—understanding, reasoning, planning, communication, and perception—increasingly effectively, efficiently, and affordably.
📚 [.md & .ipynb] 人工智能与深度学习实战--数理统计与数据分析篇
Source files for my course on Game Theory.
A collection of open source math notes.
Computer Graphics Course - Faculty of Computers and Information Sciences - Mansoura University - Egypt - 2018 / 2019
Learn mathematics behind machine learning and explore different mathematics in machine learning.
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Jupyter Notebook Dataset (6,824)
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Jupyter Notebook Neural (3,926)
Jupyter Notebook Pytorch (3,877)
Jupyter Notebook Data Science (3,734)
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