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nidhaloff
a delightful machine learning tool that allows you to train, test, and use models without writing code
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Results: 75
nidhaloff
a delightful machine learning tool that allows you to train, test, and use models without writing code
Alluxio
Alluxio, data orchestration for analytics and machine learning in the cloud
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
dformoso
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
NBA sports betting using machine learning
ujjwalkarn
common data analysis and machine learning tasks using python
Nyandwi
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
ml-tooling
🛠 All-in-one web-based IDE specialized for machine learning and data science.
LeonChaoX
A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development,…
aksnzhy
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machin…
whylabs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports…
elastic
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Niketkumardheeryan
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo the…
labmlai
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
eosphoros-ai
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
ICT-BDA
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.