zimingttkx /
AI-Practices
🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程
88/100 healthLoading repository data…
connorcl / repository
A Jupyter notebook exploring sophisticated learning rate strategies for training deep neural networks
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A Jupyter notebook exploring various sophisticated techniques for working with learning rate in deep neural networks, including:
These strategies are demonstrated with respect to an image classification problem (CIFAR10) using a simple resnet-style convolutional neural network created with PyTorch.
Selected from shared topics, language and repository description—not editorial ratings.
zimingttkx /
🎓 机器学习与深度学习实战教程 | Comprehensive ML & DL Tutorial with Jupyter Notebooks | 包含线性回归、神经网络、CNN、RNN等完整教程
88/100 healthPancakerr /
A personal pytorch-based implement of HybridSN by Jupyter Notebook
79/100 healthataturhan21 /
It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.
Classification of Kidney Disease using CNN model in Deep Learning to classify kidney disease among Cyst, Stone, Tumor and Normal Kidney in Jupyter Notebook.
39/100 healthjayavanth18 /
Deep Learning-based Skin Cancer Classification using FastAI and ResNet | Includes dataset, Jupyter Notebook, PR & ROC curves, confusion matrix, and literature review.
63/100 healthmarcinbogdanski /
Collection of Deep Learning Jupyter Notebooks. Each notebook is self-contained and presents single architecture. These include MLPs, CNNs, RNNs, Seq2Seq, GANs.
49/100 health