cmccomb / rust-automlLinks
Automated Machine Learning in Rust π¦
β38Updated last month
Alternatives and similar repositories for rust-automl
Users that are interested in rust-automl are comparing it to the libraries listed below
Sorting:
- Rust bindings for XGBoost.β114Updated last year
- A collection of boosting algorithms written in Rust π¦β58Updated 5 months ago
- Statistics, Information Measures, Linear Algebra, Cholesky Matrix Decomposition, Mahalanobis Distance, Householder QR Decomposition, Clifβ¦β56Updated last year
- ResNet implementation with Burnβ36Updated last year
- Derive for arrow2β67Updated 2 years ago
- A quantitative finance toolboxβ40Updated last month
- A fast and flexible evolution engine for implementing artificial evolution and genetic programming techniquesβ226Updated this week
- DataFrame / Series data processing in Rustβ30Updated 2 years ago
- How fast can we do simple math on 1 billion rows of input?β40Updated last year
- A simplified example in Rust of training a neural network and then using it based on the Candle Framework by Hugging Face.β39Updated 2 years ago
- A Rust implementation of the CMA-ES optimization algorithm.β36Updated 5 months ago
- Hyper-geometric computational causality for Rustβ220Updated this week
- Flexible, reusable reinforcement learning (Q learning) implementation in Rustβ158Updated last year
- llm_utils: Basic LLM tools, best practices, and minimal abstraction.β47Updated 8 months ago
- ARIMA modelling for Rustβ39Updated last year
- Orkhon: ML Inference Framework and Server Runtimeβ151Updated 4 years ago
- Locality Sensitive Hashing in Rust with Python bindingsβ119Updated 2 years ago
- A fast, safe and easy to use reinforcement learning framework in Rust.β199Updated 3 years ago
- A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualβ¦β137Updated last year
- Machine learning library providing matrices, named tensors, linear algebra and autodiff aimed at being easy to useβ24Updated last month
- Source of BLAS and LAPACK via OpenBLASβ89Updated last month
- A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.β132Updated 2 years ago
- Statistical routines for ndarrayβ215Updated last year
- finalfusion embeddings in Rustβ103Updated 2 years ago
- Tensor library for machine learningβ26Updated last week
- A machine learning library for Rust.β329Updated last year
- Fwumious Wabbit, fast on-line machine learning toolkit written in Rustβ138Updated last year
- Parallel Barnes-Hut t-SNE implementation written in Rust.β87Updated 3 months ago
- Small and fast library for k-means clustering.β52Updated 3 months ago
- A Rust implementation of Gaussian Process regression.β56Updated last year