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Helpful kernel tutorials and examples for tile-based GPU programming
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Python for HPC Tutorial Notebooks
A compute manifest and composable tools for ML, built on Ibis, DataFusion, and Arrow Flight.
No-GIL Python environment featuring NVIDIA Deep Learning libraries.
CUDA Python: Performance meets Productivity
A place to collect questions and discussions concerning PyData repositories
NVIDIA curated collection of educational resources related to general purpose GPU programming.
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
✊🏾 Diversity & Inclusion in Scientific Computing committee of NumFOCUS
The NumFOCUS DISCOVER Cookbook (Diverse & Inclusive Spaces and Conferences: Overall Vision and Essential Resources). A guide for organizing more diverse and inclusive events and conferences, produc…
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A clean, three-column Sphinx theme with Bootstrap for the PyData community
C implementation of nqq (modified implementation of clox)
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
Slides for "Power Users, Long Tail Users, and Everything In Between" Presentation - Dror Guldin and Alon Nir
Policies, Configurations, and Documentation of NumFOCUS Managed Infrastructure
📺 Discover the latest machine learning / AI courses on YouTube.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
General purpose, language-agnostic Continuous Benchmarking (CB) framework
Jupyter notebook class notes for Numerical Methods for PDEs
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
Tool for visualizing GitHub profiles