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A curated set of Jupyter notebooks showcasing various PyTorch projects and tutorials, covering deep learning fundamentals, computer vision, GANs, transfer learning, transformers and more. Continuously updated with new experiments, models and practical implementations for learning and research.

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.gitattributes
.gitattributes
 
 
Connecting_Text_and_Images.ipynb
Connecting_Text_and_Images.ipynb
 
 
Create_Chatbot.ipynb
Create_Chatbot.ipynb
 
 
Crop_Disease_Identification__CC69851.ipynb
Crop_Disease_Identification__CC69851.ipynb
 
 
Face_Recognition_PyTorch_FaceNet.ipynb
Face_Recognition_PyTorch_FaceNet.ipynb
 
 
Generating_and_Encoding_Text_with_Transformers.ipynb
Generating_and_Encoding_Text_with_Transformers.ipynb
 
 
Getting_the_Rank_N_Accuracy_in_PyTorch.ipynb
Getting_the_Rank_N_Accuracy_in_PyTorch.ipynb
 
 
MiniPlaces_Image_Classification.ipynb
MiniPlaces_Image_Classification.ipynb
 
 
PyTorch_DeepLabV3.ipynb
PyTorch_DeepLabV3.ipynb
 
 
PyTorch_Feature_Extraction.ipynb
PyTorch_Feature_Extraction.ipynb
 
 
PyTorch_GANs.ipynb
PyTorch_GANs.ipynb
 
 
PyTorch_Transfer_Learning_and_Freezing_Network_Layers.ipynb
PyTorch_Transfer_Learning_and_Freezing_Network_Layers.ipynb
 
 
Pytorch Fundamentals.ipynb
Pytorch Fundamentals.ipynb
 
 
Pytorch_Computer_Vision.ipynb
Pytorch_Computer_Vision.ipynb
 
 
Pytorch_Introduction.ipynb
Pytorch_Introduction.ipynb
 
 
Pytorch_Keras_TensorFlow_CNN_Tutorial_for_MNIST.ipynb
Pytorch_Keras_TensorFlow_CNN_Tutorial_for_MNIST.ipynb
 
 
Pytorch_workflow.ipynb
Pytorch_workflow.ipynb
 
 
Simplest_possible_neural_network.ipynb
Simplest_possible_neural_network.ipynb
 
 
Super_Resolution_GAN.ipynb
Super_Resolution_GAN.ipynb
 
 
TimeSeries.ipynb
TimeSeries.ipynb
 
 
Using_Pre_trained_Models_in_PyTorch.ipynb
Using_Pre_trained_Models_in_PyTorch.ipynb
 
 
abstractive-summarization-with-huggingface.ipynb
abstractive-summarization-with-huggingface.ipynb
 
 
banglamood-sentiment-analysis-with-pytorch.ipynb
banglamood-sentiment-analysis-with-pytorch.ipynb
 
 
classification_with_pytorch.ipynb
classification_with_pytorch.ipynb
 
 
diffusers_pipeline.ipynb
diffusers_pipeline.ipynb
 
 
enhancing-pytorch-models-with-regularization.ipynb
enhancing-pytorch-models-with-regularization.ipynb
 
 
fashionsort-ai-based-apparel-classifier.ipynb
fashionsort-ai-based-apparel-classifier.ipynb
 
 
feline-vs-canine-classifier-with-pytorch.ipynb
feline-vs-canine-classifier-with-pytorch.ipynb
 
 
implementing-deep-autoencoder-in-pytorch.ipynb
implementing-deep-autoencoder-in-pytorch.ipynb
 
 
parameter-efficientn-fine-tuning-with-lora.ipynb
parameter-efficientn-fine-tuning-with-lora.ipynb
 
 
pytorch-google-deep-dream.ipynb
pytorch-google-deep-dream.ipynb
 
 
pytorch-neural-style-transfer.ipynb
pytorch-neural-style-transfer.ipynb
 
 
twin-neural-network-architecture-in-pytorch.ipynb
twin-neural-network-architecture-in-pytorch.ipynb
 
 
vision-transformer-tutorial-pytorch.ipynb
vision-transformer-tutorial-pytorch.ipynb
 
 

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A curated set of Jupyter notebooks showcasing various PyTorch projects and tutorials, covering deep learning fundamentals, computer vision, GANs, transfer learning, transformers and more. Continuously updated with new experiments, models and practical implementations for learning and research.

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python deep-learning jupyter-notebooks pytorch-implementation gans-models
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