Proof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture
- golem
- decentralised-machine-learning
- federated-learning
47,133 repositories indexed
337–360 of 363 · Most stars
Proof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture
Stream Processing Made Easy
Cryptographic Dataset Generation & Modelling Framework
A little logger for machine learning research
Python3 script that transfers files in Google Colab 10-50x faster, using multi-threaded parallel copying between Google Drive locations.
Generate a summarized description of a body of text
Play classic arcade games on a 64x64 RGB LED Matrix, powered by the Raspberry RP2040.
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
Tool for suggesting lemma names in Coq verification projects
German small and large versions of GPT2.
Machine learning on dirty tabular data (legacy clone of skrub)
One isolated Lima VM per GitHub project — sandboxed Claude Code/Codex, Docker, Node, signed git
TensorLight - A high-level framework for TensorFlow
A Python framework that uses machine learning algorithms to implement the metadata recovery attack against obfuscated programs.
zenmachine.wordpress.com code repo
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
Fetch and normalize parameterized URLs from the Wayback CDX API (OSINT, inspired by ParamSpider).
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
Golem Image Classifier is built using the Service API of Yapapi to interact with the Golem Network (golem.network). Built as part of a Gitcoin Bounty
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
Set up and maintain a machine learning project in Tensorflow with a single script.
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
A Framework for Encrypted Machine Learning in TensorFlow
DataSet File Format (DSFF)