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# FIT
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A PyTorch-like machine learning library built from scratch with NumPy. Train neural networks with automatic differentiation, no dependencies beyond NumPy.
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[Documentation](https://fit-ml.readthedocs.io/) (for now it's incomplete, will finish it soon c:) | [Examples](examples/)
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## Why FIT?
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-**Lightweight**: Only requires NumPy
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-**Educational**: Understand ML from first principles
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-**Familiar API**: PyTorch-like interface
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-**Production ready**: Type hints, logging, proper error handling
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if epoch %10==0:
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print(f"Epoch {epoch}, Loss: {loss.data:.4f}")
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```
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Perfect for learning how neural networks work under the hood, or when you need a lightweight ML library without the complexity of PyTorch.
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