Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · Visual diagnostic tools for machine learning.
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Appears in 5 awesome lists
yellowbrick is a matplotlib-based model evaluation plots for scikit-learn and other machine learning libraries.
Section: Useful Python Tools for Data Analysis · Visual diagnostic tools for machine learning.
Section: Visual Analysis and Debugging · Visual analysis and diagnostic tools to facilitate machine learning model selection.
Section: Computation and Communication Optimisation · yellowbrick is a matplotlib-based model evaluation plots for scikit-learn and other machine learning libraries.
Section: Data Science and Analytics · Visual analysis and diagnostic tools to facilitate machine learning model selection.
Section: Model Explanation · Visual analysis and diagnostic tools to facilitate machine learning model selection.
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.
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io