Showing 12 of 12 projects
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
Implementation of SRGAN for photo-realistic single image super-resolution using generative adversarial networks.
A library for building high-performance custom human pose estimation applications with real-time inference and flexible model development.
A minimal 200-line implementation of a sequence-to-sequence chatbot using TensorLayer and TensorFlow.
TensorFlow implementation of GAN-CLS algorithm for generating images from text descriptions using adversarial networks.
A U-Net implementation for brain tumor segmentation using the BRATS 2017 dataset with data augmentation and dice loss.
A unified deep learning and reinforcement learning framework supporting multiple backends and hardware platforms.
A minimal implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) using TensorLayerX for generating realistic images.
A TensorLayer re-implementation of CycleGAN with improvements like resize-convolution and instance normalization.
An implementation of unsupervised image-to-image translation using Generative Adversarial Networks (GANs).
A simple implementation of the DAGGER imitation learning algorithm for autonomous steering control in the Torcs racing simulator.
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