-
Heidelberg University
- Germany
- pablormier.github.io
- https://orcid.org/0000-0002-4938-4418
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Starred repositories
📚 Freely available programming books
An opinionated list of awesome Python frameworks, libraries, software and resources.
🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Magnificent app which corrects your previous console command.
The Python micro framework for building web applications.
A curated list of awesome Machine Learning frameworks, libraries and software.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
scikit-learn: machine learning in Python
Rich is a Python library for rich text and beautiful formatting in the terminal.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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.
Making large AI models cheaper, faster and more accessible
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
A toolkit for developing and comparing reinforcement learning algorithms.
A community-maintained Python framework for creating mathematical animations.
Python packaging and dependency management made easy
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
A book-in-progress about the Linux kernel and its insides.
The fundamental package for scientific computing with Python.
⚡ A Fast, Extensible Progress Bar for Python and CLI