deep-learning-v2-pytorch
Neural Network Tutorial
A comprehensive tutorial project on building and training neural networks using PyTorch, covering various architectures such as CNNs, RNNs, and GANs.
0 stars
2 watching
1 forks
Language: Jupyter Notebook
last commit: almost 3 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 hardmaru/pytorch_notebooks | A collection of tutorial notebooks focused on building and training neural networks using PyTorch. | 386 |
 eduardoleao052/js-pytorch | A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. | 1,093 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
 bamos/densenet.pytorch | An implementation of a deep neural network architecture in PyTorch | 833 |
 stared/thinking-in-tensors-writing-in-pytorch | A hands-on introduction to deep learning using PyTorch, explaining mathematical concepts through code examples | 331 |
 lplenka/pytorch-tutorial | A tutorial repository covering PyTorch fundamentals and neural network concepts through interactive Jupyter Notebooks | 1 |
 rguthrie3/deeplearningfornlpinpytorch | A comprehensive tutorial on deep learning for natural language processing with PyTorch, covering the basics and advancing to linguistic structure prediction. | 1,942 |
 dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |
 napsternxg/pytorch-practice | A collection of scripts demonstrating PyTorch's capabilities in natural language processing and machine learning tasks | 197 |
 furkanu/deeplearning.ai-pytorch | Re-implementation of Coursera's Deep Learning specialization assignments in PyTorch | 149 |
 atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 351 |
 d-li14/regnet.pytorch | An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 572 |
 ramon-oliveira/aorun | A deep learning framework on top of PyTorch for building neural networks. | 61 |
 vict0rsch/deep_learning | A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |