Statements (66)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:software_framework
|
gptkbp:bfsLayer |
5
|
gptkbp:bfsParent |
gptkb:Flux.jl
|
gptkbp:application |
gptkb:microprocessor
Optimization Problems Probabilistic Programming |
gptkbp:community |
Active Contributors
|
gptkbp:conference |
gptkb:Julia_Con
Machine Learning Conferences |
gptkbp:developed_by |
gptkb:Julia_Computing
|
gptkbp:features |
Differentiable Programming
GPU Support Composable Layers |
gptkbp:has_documentation |
Comprehensive Guides
|
https://www.w3.org/2000/01/rdf-schema#label |
Flux ML
|
gptkbp:integrates_with |
Julia Ecosystem
|
gptkbp:is_compared_to |
gptkb:Graphics_Processing_Unit
gptkb:Keras gptkb:Py_Torch |
gptkbp:language |
gptkb:Julia
|
gptkbp:license |
MIT License
|
gptkbp:notable_feature |
gptkb:software
Research Collaborations Community Contributions Interoperability with Other Languages Real-time Data Processing Visualization Tools Dynamic Computation Graphs Pre-trained Models Model Serialization Extensible Architecture User-friendly API Support for Graph Neural Networks Support for Reinforcement Learning Support for Transfer Learning Support for Natural Language Processing Support for Custom Loss Functions Support for Custom Optimizers Support for Explainable AI Support for Federated Learning Support for Time Series Analysis Support for Image Processing Custom Gradients Ecosystem Compatibility Support for Bayesian Methods Support for Custom Layers Support for Ensemble Methods Support for Meta-learning Support for Multi-task Learning Type Stability |
gptkbp:performance |
High Performance
|
gptkbp:release_date |
gptkb:2018
|
gptkbp:repository |
gptkb:archive
|
gptkbp:supports |
gptkb:software_framework
Multi-threading Automatic Differentiation |
gptkbp:tutorials |
Example Projects
Advanced Tutorials Beginner Tutorials |
gptkbp:type |
gptkb:project
|
gptkbp:use_case |
gptkb:Educational_Institution
gptkb:Research_Institute Industry Applications |
gptkbp:user_base |
gptkb:physicist
gptkb:software Data Scientists |