embedding-encoder
machine-learning-book
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| embedding-encoder | machine-learning-book | |
|---|---|---|
| 1 | 2 | |
| 40 | 2,843 | |
| - | - | |
| 0.0 | 6.0 | |
| 8 months ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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embedding-encoder
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scikit-learn transformer that turns categorical variables into dense vector representations
Github: https://github.com/cpa-analytics/embedding-encoder
machine-learning-book
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Implementing a ChatGPT-like LLM from scratch, step by step
Sorry, in that case I would rather recommend a dedicated RL book. The RL part in LLMs will be very specific to LLMs, and I will only cover what's absolutely relevant in terms of background info. I do have a longish intro chapter on RL in my other general ML/DL book (https://github.com/rasbt/machine-learning-book/tree/main/ch1...) but like others said, I would recommend a dedicated RL book in your case.
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"Machine Learning with PyTorch and Scikit-Learn" book
All the code examples are available here: https://github.com/rasbt/machine-learning-book
What are some alternatives?
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
skorch - A scikit-learn compatible neural network library that wraps PyTorch
machine-learning-articles - 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository
Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
gdrl - Grokking Deep Reinforcement Learning
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Traffic-Lights-Classification-CNN - Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset.
nn - 🧑🏫 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, ... 🧠