Metadata-Version: 2.1
Name: deepblocks
Version: 0.1.0
Summary: Useful PyTorch Layers
Home-page: https://github.com/blurry-mood/Deep-Learning-Blocks
Author: Ayoub Assis
Author-email: assis.ayoub@gmail.com
License: LICENSE
Description: # Deep-Learning-Blocks
        A library with customized PyTorch layers and model components.
        
        ## What's available for use:
        ### **Layers**:
        * [InputAware Layer](docs/CNN%20Layers.md#input-aware-layer)
        * [Funnel ReLU](docs/CNN%20Layers.md#funnel-relu-frelu)
        * [Flip-Invariant Conv2d](docs/CNN%20Layers.md#flip-invariant-conv2d-layer)
        * [Squeeze-Excitation Block](docs/CNN%20Layers.md#squeeze-excitation-block)  
        
        ### **Loss Functions**:
        * [Inverse Sigmoid](docs/losses.md#inverse-sigmoid-loss)
        * [Cosine](docs/losses#cosine-loss)
        
        ### **Training Strategies**:
        * [GA Trainer](docs/trainer.md#genetic-algorithm-trainer-ga)
        
Keywords: pytorch cnn layers
Platform: UNKNOWN
Requires-Python: >=3.7
Description-Content-Type: text/markdown
