Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
APACHE-2.0 License
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
GAN-based models to flash-simulate the LHCb PID detectors
Keras implementations of Generative Adversarial Networks.
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Keras Generative Adversarial Networks
Chess reinforcement learning by AlphaGo Zero methods.
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
A Keras port of Single Shot MultiBox Detector
Research Pipeline for image masking/segmentation in Keras
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresp...
Coloring black and white images with deep learning.
Fine-tuning Stable Diffusion using Keras.
Reinforcement learning library for Keras and PyTorch.
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow