Showing 101-120 of 703 projects
An R&D agent that automates high-value generic R&D processes to let AI drive data-driven AI.
A curated list of recommended books for engineers covering computer science, software, startups, and more.
An open-source library for data-centric AI with tools for data quality and machine learning on messy, real-world data.
Statsmodels is a Python library for statistical modeling and econometrics, providing tools for data analysis and prediction.
A Python library that helps ensure data quality and reliability through data profiling and testing.
A collection of Jupyter notebooks showcasing how to build and deploy machine learning models with Amazon SageMaker.
The AI developer platform to train and fine-tune models, and manage models from experimentation to production.
A crash course in computer science with AI tools for vibe coders
Kedro is a Python toolkit for building production-ready data science and machine learning pipelines.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
An open-source machine learning course focused on practical algorithms and data analysis in Python.
Refine high-quality datasets and visual AI models with this Python library for active learning and data curation.
This repository contains tutorials, assignments, and competitions for MIT's deep learning courses, covering a wide range of AI and machine learning topics.
Modin: Scalable Pandas workflows with a single line of code change, enabling distributed data processing.
This is a collection of mind maps and notes for fundamental computer science courses, not a developer discovery platform for AI tools.
A comprehensive resource for computer science interview preparation, covering topics like networking, OS, databases, and Git.
A booklet on machine learning systems design with exercises for developers interested in MLOps and production ML.
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.
An open-source Copilot for data scientists, enabling building high-performance portfolios, lab sites, and docs in Markdown and Jupyter.
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