Configure Python functions explicitly and safely
- hyperparameters
- machine-learning
- deep-learning
- python3
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Configure Python functions explicitly and safely
Axon/Myelin segmentation using Deep Learning
Neo4j based Recommendation Engine Framework for PHP
Collection of mathematical morphology methods and plugins for ImageJ
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
Fiji library to perform image segmentation based on the Weka learning schemes
A set of neuroevolution experiments with/towards deep networks
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A neural network, written in Ruby
GeneCompass
A Go port of the Rapid Automatic Keyword Extraction algorithm (RAKE)
Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
ReAlign models instantly, on demand. Per-request alignment for verified users and channels, or Always On. Use directly or with Hermes, OpenClaw and custom harnesses.
A strongly-typed genetic programming framework for Python
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A TensorFlow implementation of the Mnemonic Descent Method.
A Macau food recommendation Agent built on Thompson Sampling + StackedPareto weight fusion, with a full evaluation pipeline (5-fold CV, bootstrap CIs, stress tests) on 5,000 simulated users and 100k interactions. Competition entry for the QwenPaw AI Developer Challenge.
lock-free, concurrent, key/value index with efficient memory-mapped persistence and fast transient storage models
The Automagic Project Planner
Library for machine learning stacking generalization.
Nickel extracts date, time, and message information from naturally worded text.
AFI VISION BUILDER
A simple and functional machine learning library for the Erlang ecosystem