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Discover 703 open source projects
Showing 141-160 of 703 projects
jwasham/computer-science-flash-cards
A collection of flashcards to help developers learn and practice computer science concepts and algorithms.
ricklamers/gridstudio
Grid Studio is a web-based application for data science with full integration of open source data science frameworks and languages.
lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials for data scientists and ML engineers.
catboost/catboost
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
modelscope/modelscope
ModelScope is an open-source AI framework that brings the notion of Model-as-a-Service to life, providing a comprehensive suite of tools for building, deploying, and managing AI models.
mage-ai/mage-ai
mage-ai is a Python-based platform for building, running, and managing data pipelines and integrating/transforming data.
krishnaik06/The-Grand-Complete-Data-Science-Materials
A comprehensive collection of data science materials and resources for developers.
fengdu78/Data-Science-Notes
A collection of notes and resources for data science, but not specifically focused on vibe coders or AI tools.
davidkimai/Context-Engineering
A Python-based handbook for moving beyond prompt engineering to the wider discipline of context design and optimization.
vaexio/vaex
A high-performance Python library for working with large tabular datasets, offering efficient data manipulation and visualization.
jupyter/docker-stacks
Docker images containing Jupyter applications for data science and machine learning workflows.
Future-House/paper-qa
High accuracy RAG for answering questions from scientific documents with citations
jupyterhub/jupyterhub
A multi-user server for Jupyter notebooks, enabling collaborative data science and AI development.
jackzhenguo/python-small-examples
A collection of Python code examples and tutorials for data science, machine learning, and web development.
rfordatascience/tidytuesday
Official repository for the #tidytuesday project, a weekly data science learning resource.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions.
mgechev/javascript-algorithms
A library of JavaScript implementations of common computer science algorithms and data structures.
mrdbourke/machine-learning-roadmap
A comprehensive roadmap for learning essential machine learning concepts and tools.
amejiarosario/dsa.js-data-structures-algorithms-javascript
A comprehensive JavaScript library for learning and implementing data structures and algorithms.
alteryx/featuretools
An open-source Python library for automated feature engineering in machine learning.
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