Karate Club offers algorithms for unsupervised learning on graph data in Python.
Open source
24 alternativesHow do Opytimizer and TF-Agents compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Opytimizer | TF-Agents |
|---|---|---|
| What it is | Opytimizer provides Python implementations of metaheuristic optimization algorithms for search problems. | TF-Agents provides a TensorFlow library for contextual bandits and reinforcement learning. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both Opytimizer and TF-Agents.
Karate Club offers algorithms for unsupervised learning on graph data in Python.
This metric-learn repository contains Python implementations of metric learning algorithms.
TensorFlow Model Optimization provides Keras and TensorFlow tools for model quantization and pruning.
Use Learnergy, a Python library for training and working with energy-based machine learning models.
metric-learn provides Python implementations of metric learning algorithms.
OpenMetricLearning provides metric learning pipelines, models, and a model zoo.