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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

application-of-machine-learning-for-the-interpretation-of-geophysical-well-logs

automatedwelllogcorrelation

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

basic-well-log-interpretation

Basic Well Log Interpretation with python, pandas, matplotlib

deeplearning-concepts-and-implementation-main

Based on Pytorch, Linear Regression, MLP, CNN, RNN 本项目包括Pytorch基础操作, Linear Regression, MLP, CNN, RNN(keras实现)； 每个部分包括讲解和代码实现； ipynb文件图片和公式显示有问题，请下载后运行阅读。

exploratory-data-analysis-of-wireline-well-log-data

Exploring 118 wells of 1 MM+ rows and 29 columns of wireline petrophysical data using the Pandas library. Analysed & Visualised wireline logs petrophysical dataset using - Pandas, Numpy, Matplotlib, Plotly & seaborn libraries Discovered insights of wireline logs quality & interpretation (missing data and imbalance class