An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
APACHE-2.0 License
Accumulated Gradients for TensorFlow 2
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Implementation of MAXIM in TensorFlow.
TensorFlow and Deep Learning Tutorials
An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in...
An implementation of the Nyströmformer, using Nystrom method to approximate standard self attention
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Deep learning codes and projects using Python
A curated list of dedicated resources and applications
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
Interpretability Methods for tf.keras models with Tensorflow 2.x
Advanced Deep Learning with Keras, published by Packt
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...
An easy-to-use library for GLU (Gated Linear Units) and GLU variants in TensorFlow.
An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Trans...