Deep learning using tensorflow
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
A context encoder for audio inpainting
TensorFlow implementation of "Context Encoders: Feature Learning by Inpainting" with CelebAMask-HQ Dataset.
Implement VAE & Context-encoder using PyTorch.
Inpainting using Context-Encoder in an Generative Adversarial Network
Inpainting using Context-Encoder in an Generative Adversarial Network (Version 2).
A meta-reinforcement learning (meta-RL) method that combines FOMAML with a causal GRU context encoder to learn from recent transition history and rapidly adapt to changing environment dynamics, without requiring privileged physics labels or a reconstruction loss.
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