Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
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Best Practices on Recommendation Systems
DSPy: The framework for programming—not prompting—foundation models
Minimal and clean examples of machine learning algorithms implementations
Machine Learning Engineering Open Book
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Lightning ⚡️ fast forecasting with statistical and econometric models.
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
Cinder is Meta's internal performance-oriented production version of CPython.
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
simplejson is a simple, fast, extensible JSON encoder/decoder for Python
A JAX research toolkit for building, editing, and visualizing neural networks.
Multiversal tree writing interface for human-AI collaboration
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Convert any PDF into a podcast episode!
An llvm-based framework for generating and calling into high-performance native code from Python.
Opinionated cookiecutter template for creating a new Python library
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
Steering vectors for transformer language models in Pytorch / Huggingface
Prototype of public transit data visualization system
A “Hello World” of calling Rust code from a Python program with CFFI, in order to show packaging issues