feed-visualizer
aim
feed-visualizer | aim | |
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3 | 70 | |
23 | 4,797 | |
- | 1.8% | |
1.8 | 8.0 | |
about 1 year ago | 5 days ago | |
HTML | Python | |
Apache License 2.0 | Apache License 2.0 |
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feed-visualizer
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[OC]Feed Visualizer : Open source tool for visualizing a website's content
Hi everyone, I created a open source tool called 'Feed Visualizer' which can basically converts RSS/Atom feeds from a website into a nice interactive visualization that looks like this :
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[OC] Visual summary of Slashdot's RSS feed data for an year. Semantic clustering and automatic tagging on some 950+ urls were done using open source tool called 'Feed Visualizer'.
Tools used : Feed Visualizer ( https://github.com/code2k13/feed-visualizer) Way Back Machine Downloader (https://github.com/hartator/wayback-machine-downloader)
- Feed Visualizer is an open source project that allows creation of semantic visualization of a website's content. It creates interactive visualization with similar content grouped together. The tool also tries to perform automatic labelling for detected clusters.
aim
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aim VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
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End-to-end observability for LlamaIndex environment
LlamaIndex Observer is one of the logging apps built in AimOS (aimstack.io).
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Data Registry suggestions for ML projects
I've been working with Aim for a while, and it's been solid. What stands out for me is its open-source nature. https://aimstack.io/
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Building and debugging LLMs with Aim: self-hosted and open-source AI metadata tracking tool
If you haven't yet, drop a star to support open-source project! ⭐️ https://github.com/aimhubio/aim
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Any tools that offer In-depth tracking of model runtime performance?
Here is the GitHub repository: https://github.com/aimhubio/aim
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Using MLflow(Machine Learning experimentation tracking tool) in Kaggle notebooks with the help of DagsHub
You can also check out Aim, which has an integration with MLflow, called aimlflow.
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Visualize metadata with Aim on Hugging Face Spaces and seamlessly share training results with anyone
Hope you enjoyed reading and thanks for your time! Feel free to share your thoughts, would love to read them. Support Aim by dropping a star on GitHub: https://github.com/aimhubio/aim
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Effortless image tracking and analysis for 3D segmentation task with Aim
Aim: An easy-to-use & supercharged open-source AI metadata tracker aimstack.io
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Evaluate Different Vector Databases
Seems useful: https://github.com/aimhubio/aim
- Metadata visualization via Aim Explorers
What are some alternatives?
hal9 - Hal9 — Programmatic access to Hal9
tensorboard - TensorFlow's Visualization Toolkit
stripnet - STriP Net: Semantic Similarity of Scientific Papers (S3P) Network
dvc - 🦉 ML Experiments and Data Management with Git
wayback-machine-downloader - Download an entire website from the Wayback Machine.
guildai - Experiment tracking, ML developer tools
datascience - Curated list of Python resources for data science.
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!