An archiving tool with an IM-style interface that prioritizes privacy and accessibility, integrated with various archival services including Internet Archive, archive.today, Ghostarchive, IPFS, Telegraph, and file systems.
- telegram
- archive
- wayback-machine
- save-the-internet
An open source library and framework for deep learning on satellite and aerial imagery.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Curated list: Resources for machine learning in Ruby
NixOps is a tool for deploying to NixOS machines in a network or cloud.
A Claude Code skill that turns any machine into a 3D simulator you can take apart
a curated list of R tutorials for Data Science, NLP and Machine Learning
Powershell module that can be used by Blue Teams, Incident Responders and System Administrators to hunt persistences implanted in Windows machines. Official Twitter/X account @PersistSniper. Made with ❤️ by @last0x00 and @dottor_morte
Magenta.js: Music and Art Generation with Machine Learning in the browser
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Python Stream Processing
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Connect your company's data, let an agent draft an ontology over it, and load it into HelixDB as one graph you can explore and ask questions of. Hosted at foundry.helix-db.com, or run it on your own machine.
Build LLM-powered applications in Ruby
Elyra extends JupyterLab with an AI centric approach.
- notebooks
- notebook-jupyter
- jupyterlab
- jupyterlab-extensions
Web labeling tool for bitmap images and point clouds
A Multilingual, Multimodal Translation Model Family
Save your dotfiles once, deploy them everywhere
A curated list of awesome adversarial machine learning resources
A statesmanlike state machine library.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Natural Gradient Boosting for Probabilistic Prediction