Accumulated Gradients for TensorFlow 2
MIT License
A curated list of dedicated resources and applications
Implementation of DreamBooth in KerasCV and TensorFlow.
An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarc...
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Interpretability Methods for tf.keras models with Tensorflow 2.x
Industry-strength Computer Vision workflows with Keras
Implementation of MAXIM in TensorFlow.
Customizable Advanced Tensorflow(Torch) Objects to Preprocess, Upload, Model and Augment
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
In this repository, I will share some useful notes and references about deploying deep learning-b...
A library that includes pure TF/Keras preprocessing and augmentation layers, providing support fo...
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Advanced Deep Learning with Keras, published by Packt
Create, train, and save Tensorflow Keras models all in Golang
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow