MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
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A curated list of AI market maps from 2026, 2025, and 2024, by Joy Larkin.
Tmap for visualizing geospatial data with static maps and for interactive maps.
PyTorch Implementation of No Token Left Behind: Explainability-Aided Image Classification and Generation.
OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.
The most capable data visualization library on the web. 60+ chart types, maps, financial charts, Gantt. Trusted by 20,000+ companies worldwide.
Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
Rendering beautiful SVG maps in Python.
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
Generate mind maps, flowcharts, sequence diagrams, and more from a simple text prompt with Whimsical AI. Get started for free.