Awesome AI in Finance
Section: Visualizing · Visualizer for deep learning and machine learning models.
Entry
Appears in 15 awesome lists
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
Section: Visualizing · Visualizer for deep learning and machine learning models.
Section: Deep Learning Packages
Section: Tools · Visualizer for deep learning and machine learning models
Section: Open Source · Visualizer for deep learning and machine learning models.
Section: Visualization · Visualizer for neural network, deep learning, and machine learning models.
Section: JavaScript · Visualizer for machine learning models.
Section: Visual Analysis and Debugging · Visualizer for neural network, deep learning, and machine learning models.
Section: AI · Visualizer for machine learning models
Section: 机器学习 和 神经网络 · 神经网络、深度学习和机器学习模型的可视化工具。
Section: LLM Security & AI Security · Visualizer for neural network, deep learning, and ML models.
Section: Industry Strength Visualisation · Netron is a viewer for neural network, deep learning and machine learning models.
Section: Model Explanation · Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
Section: Machine Learning · Visualizer for neural network, deep learning and machine learning models.
Section: Helpful links · A tool for visualizing models.
Section: Other · Visualizer for neural network, deep learning and machine learning models
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.
All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
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.