- ๐ โ https://madewithml.com
- ๐ Illustrative ML notebooks in TensorFlow 2.0 + Keras.
- โ๏ธ Build robust models using the functional API w/ custom components
- ๐ฆ Train using simple yet highly customizable loops to build products fast
- If you prefer Jupyter Notebooks or want to add/fix content, check out the notebooks directory.
| Basics | Machine Learning | Tools | Deep Learning | |
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๐ Notebooks | ๐ Linear Regression | ๐ Data & Models | ๏ธ๐ผ Convolutional Neural Networks |
| ๐ Python | ๐ Logistic Regression | ๐ Utilities | ๐ Embeddings | |
| ๐ข NumPy | ๏ธ๐ Multilayer Perceptrons | ๏ธโ๏ธ Preprocessing | ๐ Recurrent Neural Networks | |
| ๐ผ Pandas |
| Local | Applications | Scale | Miscellaneous | |
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๐ป Local Setup | ๐ฒ Logging | ๐ณ Docker | ๐ค Distributed Training |
| ๐ ML Scripts | โฑ๏ธ Flask Applications | ๐ข Kubernetes | ๐ Databases | |
| โ Unit Tests | ๐ Kubeflow | ๐ Authentication |
| General | Sequential | Popular | Miscellaneous | |
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๐ง Attention | ๐ Transformers | ๐ญ Generative Adversarial Networks | ๐ฎ Autoencoders |
| ๐๏ธ Highway Networks | ๐น BERT, GPT2, XLNet | ๐ฑ Bayesian Deep Learning | ๐ท๏ธ Graph Neural Networks | |
| ๐ง Residual Networks | ๐ Temporal CNNs | ๐ Reinforcement Learning |
| Computer Vision | Natural Language | Unsupervised Learning | Miscellaneous | |
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๐ธ Image Recognition | ๐ Text classification | ๐ก Clustering | โฐ Time-series Analysis |
| ๐ผ๏ธ Image Segmentation | ๐ฌ Named Entity Recognition | ๐๏ธ Topic Modeling | ๐ Recommendation Systems | |
| ๐จ Image Generation | ๐ง Knowledge Graphs | ๐ฏ One-shot Learning | ||
| ๐๏ธ Interpretability |