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@@ -29,13 +29,3 @@ The following tools/website are solutions made by different companies to prevent
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📒 [MSTY](https://msty.app/) - Build LLM apps visually, kind of like Bubble for AI
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📒 [LMStudio](https://lmstudio.ai/) - Friendly for non-coders who still want power and insight
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## Manual Solutions to AI (Low Level)
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📒 [PyTorch](https://pytorch.org) – A flexible deep learning framework that gives you direct access to tensors, autograd, and model building.
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📒 [TensorFlow](https://www.tensorflow.org) – Google’s framework for deep learning; lower-level than Keras if you work with the base API.
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📒 [JAX](https://github.com/google/jax) – Optimized for high-performance ML research. Great for gradient-based training and auto-differentiation.
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📒 [scikit-learn](https://scikit-learn.org) – Classic machine learning library (non-deep learning) with traditional models like SVMs, random forests, etc.

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