Hulalazz / A-_Guide_-to_Data_Sciecne_from_mathematicsLinks
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
☆64Updated last year
Alternatives and similar repositories for A-_Guide_-to_Data_Sciecne_from_mathematics
Users that are interested in A-_Guide_-to_Data_Sciecne_from_mathematics are comparing it to the libraries listed below
Sorting:
- Repository for my convex optimization course.☆53Updated 4 years ago
- ☆28Updated 4 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆52Updated 2 years ago
- A collection of papers and readings for non-convex optimization☆31Updated 6 years ago
- ☆89Updated 2 years ago
- Awesome list for Neural Network Optimization methods.☆82Updated 9 months ago
- a curated list of bayesian optimization tutorials, papers, softwares☆30Updated 4 years ago
- Graph Neural Network Tutorial☆194Updated 5 years ago
- ☆148Updated 5 months ago
- My approach to CS224w [AT] Stanford 2019 : )☆122Updated 4 years ago
- Optimization in Python: Linear and non-linear optimization methods.☆48Updated 4 years ago
- Low-Level Graph Neural Network Operators for PyG☆217Updated this week
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 2 years ago
- Python package for graph-based clustering and semi-supervised learning☆100Updated 3 months ago
- Material for the course Large-Scale Convex Optimisation at LTH, autumn 2020☆14Updated 4 years ago
- ☆105Updated 4 years ago
- Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆249Updated 5 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- Experiments with Message Passing GNNs in C++ and PyTorch.☆26Updated last year
- Visualization of numerical optimization algorithms☆97Updated 5 years ago
- Repository for my Big Data Optimization course☆36Updated 4 years ago
- A library for optimization on Riemannian manifolds☆112Updated 7 months ago
- Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks☆54Updated 3 years ago
- Library to implement graph neural networks in PyTorch☆270Updated last year
- Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial☆41Updated 7 years ago
- Implementation of various optimization methods☆68Updated 3 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆149Updated last year