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A MNIST-like fashion product database. Benchmark 👇
Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
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GPU Accelerated t-SNE for CUDA with Python bindings
Early stopping for PyTorch
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Layers Outputs and Gradients in Keras. Made easy.
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
Experiments for understanding disentanglement in VAE latent representations
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
A free audio dataset of spoken digits. An audio version of MNIST.
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset