A resource for learning about Machine learning & Deep Learning
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Updated
Aug 17, 2024 - Python
A resource for learning about Machine learning & Deep Learning
Instructions on how to use PyTorch on AMD GPU with Linux
Pytorch basic tutorial for CNN
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
A Variational Autoencoder (VAE) implemented in PyTorch
Pytorch Implementation of Various Machine Learning and Perceptron Algorithms
Enhanced Super-Resolution Generative Adversarial Networks
PyTorch 0.3.1 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch v0.3.1 tutorials in Korean.)
A short tutorial on performing fine tuning or transfer learning in PyTorch.
PyTorch tutorials hand-coded (not copy and pasted) from here https://pytorch.org/tutorials/beginner/pytorch_with_examples.html
Pytorch implementation of contractive autoencoder on MNIST dataset
mnist mlp in pytorch and tensorflow
A Generative Adverserial Network for modelling any distribution.
Building train/test datasets with HDF5 database for deeplearning
My content of CS294 Deep Reinforcement Learning course, conduced by Sergey Levine from UC Berkeley.
RNN
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