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HENI @jhads
- London
- https://joserivera.org/
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The Python micro framework for building web applications.
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
A collection of learning resources for curious software engineers
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A collection of design patterns/idioms in Python
Streamlit — A faster way to build and share data apps.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integra…
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Companion code to my O'Reilly book "Flask Web Development", second edition.
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
Preview GitHub README.md files locally before committing them.
ZenML 🙏: MLOps for Reliable AI: from Classical ML to Agents. https://zenml.io.
Cast macOS and Linux Audio/Video to your Google Cast and Sonos Devices
λ Gordon is a tool to create, wire and deploy AWS Lambdas using CloudFormation
🐍 Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
Multivariate imputation and matrix completion algorithms implemented in Python