cloudwalk / simple-evolutionary-feature-search
evolutionary feature algorithm for finding features in the models
☆11Updated 10 months ago
Alternatives and similar repositories for simple-evolutionary-feature-search:
Users that are interested in simple-evolutionary-feature-search are comparing it to the libraries listed below
- A visual labeling system implemented in Jupyter widgets.☆11Updated last year
- A collection of MLflow custom flavors☆13Updated last year
- A Python package for PME (Public Market Equivalent) calculation☆11Updated last year
- Integration tests for dbt☆12Updated last year
- a graph definition and execution library for python☆16Updated last year
- Flax Image Models - State-of-the-art pre-trained vision backbones for Flax.☆17Updated last year
- Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"☆14Updated 3 months ago
- Modular, scalable library to train ML models☆52Updated this week
- All the World's a (Hyper)Graph: A Data Drama (DSH 2023)☆15Updated 2 years ago
- PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting☆11Updated 2 years ago
- Example of using Vector Search algorithms for non-traditional workloads, like GIS, stock prices, and sets☆13Updated last year
- ☆19Updated 8 months ago
- AI book for everyone☆26Updated 3 weeks ago
- Code that accompanies the PyData New York (2022) talk: Addressing the sensitivity of Large language models☆12Updated 2 years ago
- Dark - a PyTorch like library written from scratch (for education)☆0Updated 5 months ago
- Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboards☆12Updated last month
- Tabular In-Context Learning☆40Updated last month
- Implementation of SelfExtend from the paper "LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning" from Pytorch and Zeta☆13Updated 2 months ago
- Downsampling array of intervals☆25Updated 5 years ago
- Hosting examples of interactive datamapplot output☆21Updated 3 months ago
- Crinkle is a framework for organizing the execution of complex processing flows by implementing the “Chain of Responsability” pattern in …☆11Updated 10 months ago
- ☆28Updated 5 months ago
- Binary vector search example using Unum's USearch engine and pre-computed Wikipedia embeddings from Co:here and MixedBread☆18Updated 9 months ago
- ☆10Updated last year
- Abstractions for feature engineering on large graphs of tabular data.☆22Updated last week
- ☆42Updated 5 months ago
- Datasets for the TensorHouse project☆18Updated 11 months ago
- Code for paper "AutoAudit: Mining Accounting and Time-Evolving Graphs" (Big Data 2020)☆16Updated last year
- Manage seeds across multiple Python RNGs.☆12Updated 3 months ago