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Open-source Python library for interactive cross-filter dashboards on large datasets. Zoom, pan, and selection are answered by lazy Polars aggregations on a stateless server instead of sending rows to the browser.
Section: Charts and Dashboards · Open-source Python library for interactive cross-filter dashboards on large datasets. Zoom, pan, and selection are answered by lazy Polars aggregations on a stateless server instead of sending rows to the browser.
Section: Deep Learning Packages · Python library for interactive, cross-filtered dashboards that stay responsive on 100M+ rows by aggregating with Polars on the server.
Section: Visualization · Interactive cross-filter dashboards for datasets that are too large for the browser.
Section: Polars plugins · Python library for interactive, cross-filterable charts on 100M+ rows, powered by lazy Polars aggregations and Rust kernels by @jvdd.
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.
Allows the user to manipulate documents based on data to render charts in SVG.
PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.