embedding-encoder VS machine-learning-articles

Compare embedding-encoder vs machine-learning-articles and see what are their differences.

embedding-encoder

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings. (by cpa-analytics)
Machine Learning Deep Learning scikit-learn Keras Tensorflow neural-networks categorical-features categorical-encoding Embeddings
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machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com. (by christianversloot)
Machine Learning Deep Learning neural-networks Tensorflow Pytorch scikit-learn convolutional-neural-networks Gan Gans Transformers huggingface-transformers dbscan Clustering Bert Gpt Albert Keras keras-tensorflow pytorch-implementation pytorch-tutorial
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embedding-encoder machine-learning-articles
1 5
40 3,073
- -
0.0 4.1
9 months ago about 1 month ago
Jupyter Notebook
MIT License -
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embedding-encoder

Posts with mentions or reviews of embedding-encoder. We have used some of these posts to build our list of alternatives and similar projects.

machine-learning-articles

Posts with mentions or reviews of machine-learning-articles. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-06.

What are some alternatives?

When comparing embedding-encoder and machine-learning-articles you can also consider the following projects:

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

iris - Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

awesome-adaptive-computation - A curated reading list of research in Adaptive Computation, Dynamic Compute & Mixture of Experts (MoE).

python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository

Traffic-Lights-Classification-CNN - Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset.

machine-learning-book - Code Repository for Machine Learning with PyTorch and Scikit-Learn

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

embedding-encoder vs machine_learning_complete machine-learning-articles vs iris embedding-encoder vs Fast-Transformer machine-learning-articles vs minGPT embedding-encoder vs handson-ml machine-learning-articles vs awesome-adaptive-computation embedding-encoder vs python-machine-learning-book-3rd-edition embedding-encoder vs Traffic-Lights-Classification-CNN embedding-encoder vs machine-learning-book embedding-encoder vs ML-Workspace