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Recreate this in a more palatable framework etc.1 repository
Python
good and interesting python things16 repositories
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Starred repositories
49
stars
written in Jupyter Notebook
Clear filter
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Examples and guides for using the OpenAI API
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
💿 Free software that works great, and also happens to be open-source Python.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
llama3 implementation one matrix multiplication at a time
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Official inference library for Mistral models
Code samples used on cloud.google.com
CoreNet: A library for training deep neural networks
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
A Bulletproof Way to Generate Structured JSON from Language Models
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Lectures on scientific computing with python, as IPython notebooks.
A Haskell kernel for the Jupyter project.
A python tutorial on bayesian modeling techniques (PyMC3)
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimizati…
Get started learning C# with C# notebooks powered by .NET Interactive and VS Code.
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Tutorials and information on the Julia language for MIT numerical-computation courses.
Felafax is building AI infra for non-NVIDIA GPUs