ML - Python
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Techniques for deep learning with satellite & aerial imagery
Matplotlib styles for scientific plotting
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
CUDA-accelerated GIS and spatiotemporal algorithms
Fast N-dimensional aggregation functions with Numba
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
ViT architecture with Mamba instead of transformer backbone
Hackable and optimized Transformers building blocks, supporting a composable construction.
⚡ xarray data creation by data classes
A flexible, fast and scalable python library for Self-Organizing Maps
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Survival analysis built on top of scikit-learn
A Rust crate and Python library for packed, immutable, zero-copy spatial indexes.
numba_scipy extends Numba to make it aware of SciPy