Explore Projects
Discover 380 open source projects
Showing 41-60 of 380 projects
microsoft/nni
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
virgili0/Virgilio
A comprehensive learning resource for data science and machine learning, covering a wide range of topics and tools.
oxnr/awesome-bigdata
A curated list of awesome big data frameworks, resources and other awesomeness.
mwaskom/seaborn
Statistical data visualization in Python
visenger/awesome-mlops
A curated list of references for MLOps, the practice of managing and automating machine learning workflows.
Data-Centric-AI-Community/ydata-profiling
A Python library for fast, customizable, and interactive data profiling and exploratory data analysis.
jpmorganchase/python-training
This repository provides Python training materials for business analysts and traders in the finance industry.
tangyudi/Ai-Learn
Comprehensive learning roadmap for AI & machine learning, with 200+ practical cases and projects for beginners to experts.
trinodb/trino
Trino is a distributed SQL query engine for big data, allowing fast, scalable, and cost-effective analytics.
rasbt/python-machine-learning-book
A comprehensive code repository and resource for learning machine learning with Python.
dair-ai/ML-Papers-of-the-Week
A weekly curated list of top machine learning research papers, useful for vibe coders.
allenai/allennlp
An open-source NLP research library built on PyTorch for advanced natural language processing tasks.
OpenRefine/OpenRefine
OpenRefine is a powerful data cleaning and transformation tool that helps developers work with messy data.
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
microsoft/RD-Agent
An R&D agent that automates high-value generic R&D processes to let AI drive data-driven AI.
cleanlab/cleanlab
An open-source library for data-centric AI with tools for data quality and machine learning on messy, real-world data.
statsmodels/statsmodels
Statsmodels is a Python library for statistical modeling and econometrics, providing tools for data analysis and prediction.
great-expectations/great_expectations
A Python library that helps ensure data quality and reliability through data profiling and testing.
aws/amazon-sagemaker-examples
A collection of Jupyter notebooks showcasing how to build and deploy machine learning models with Amazon SageMaker.
wandb/wandb
The AI developer platform to train and fine-tune models, and manage models from experimentation to production.
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