The missing layers package for Bayesian inference
? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Deep Learning for humans
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
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 ;)
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
? A ranked list of awesome machine learning Python libraries. Updated weekly.
Go language library for reading and writing Microsoft Excel? (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Machine learning, in numpy
