dorjeduck / kamo
Kolmogorov-Arnold Networks in Mojo
☆18Updated 3 months ago
Alternatives and similar repositories for kamo:
Users that are interested in kamo are comparing it to the libraries listed below
- Accurate, Hardware Accelerated, Special Functions in Mojo 🔥☆34Updated last month
- ☆37Updated last year
- A fast and compact Dict implementation in Mojo 🔥☆33Updated 7 months ago
- Contains supporting materials for developer relations blog posts, videos, and workshops☆44Updated last week
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆20Updated 11 months ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 6 months ago
- A Learning Journey: Micrograd in Mojo 🔥☆60Updated 3 months ago
- Forecast evaluation library☆53Updated 3 weeks ago
- ☆46Updated 2 weeks ago
- A Simple Statistical Distribution Library in JAX☆16Updated 10 months ago
- Causal Impact but with MFLES and conformal prediction intervals☆34Updated 3 weeks ago
- Lectures on Quantitative Economics Using JAX☆31Updated last month
- A library for parsing images in Mojo☆13Updated 3 months ago
- Geometric Algebra☆20Updated last month
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆39Updated last month
- ☆54Updated 7 months ago
- NuMojo is a library for numerical computing in Mojo 🔥 similar to numpy in Python.☆129Updated this week
- Cross-prediction-powered inference☆14Updated 9 months ago
- ☆15Updated 9 months ago
- This repository contains a better implementation of Kolmogorov-Arnold networks☆59Updated 8 months ago
- ☆29Updated 4 months ago
- ☆230Updated this week
- 📖 Learn some mojo !☆130Updated 6 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆43Updated 2 years ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆21Updated 4 months ago
- You should use PySR to find scaling laws. Here's an example.☆33Updated last year
- ☆12Updated last year
- A collection of hash functions implemented in Mojo☆23Updated 4 months ago
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆26Updated 7 months ago
- Neat Bayesian machine learning examples☆54Updated last week