hipotures Goto Github PK
Name: hipotures
Type: User
Company: Armum
Bio: Sci/ML/AI/SD/Photo/Astro/Poetry/Piano/Music
Location: Kraków
Name: hipotures
Type: User
Company: Armum
Bio: Sci/ML/AI/SD/Photo/Astro/Poetry/Piano/Music
Location: Kraków
Automated Machine Learning with scikit-learn
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
AutoML library for deep learning
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
The Evaluation Framework for LLMs
The Evaluation Framework for LLMs
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
EvalML is an AutoML library written in python.
The Evaluation Framework for LLMs
A lightweight AutoML library.
Feature selector is a tool for dimensionality reduction of machine learning datasets
An open source python library for automated feature engineering
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Time Series Forecasting Best Practices & Examples
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Large language Models (LLM)
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Fast and customizable framework for automatic ML model creation (AutoML)
Deep learning framework to train, deploy, and ship AI products Lightning fast.
MLBox is a powerful Automated Machine Learning python library.
Scalable machine 🤖 learning for time series forecasting.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
The Evaluation Framework for LLMs
Piano sheets from Kyle Landry, vkgoeswild, Beethoven, Yiruma, Zohar002, etc.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
An open-source, low-code machine learning library in Python
Time series forecasting with PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.