machine-learning
machine_learning_complete
machine-learning | machine_learning_complete | |
---|---|---|
1 | 2 | |
0 | 4,507 | |
- | - | |
2.6 | 5.9 | |
over 2 years ago | 7 months ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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machine-learning
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Am I correctly learning the DNN model?
Please, tell me something if I'm doing wrong. My solution is here on Github.
machine_learning_complete
What are some alternatives?
Knet.jl - Koç University deep learning framework.
embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
event-transcripts - transcripts from our recorded events
intent_based_chatbot - An intent-based chatbot in python with tflearn and TensorFlow. It can be trained for a specific purpose and works well within that specific scope.
PtitPrince - python version of raincloud
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
artificial-intelligence - AI projects in python, mostly Jupyter notebooks.
awesome-data-centric-ai - Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖