Create README.md

README.md

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+---
+library_name: torch
+license: apache-2.0
+tags:
+- pytorch
+- loss-functions
+- deep-learning
+- machine-learning
+- library
+---
+
+# torchlosses
+
+A lightweight library of advanced **PyTorch loss functions** — ready to plug into your training loop.  
+Designed for deep learning practitioners who want more than just MSE and CrossEntropy.  
+
+Available on **PyPI**: [torchlosses](https://pypi.org/project/torchlosses/)  
+
+---
+
+## Features
+- **Focal Loss** — handle class imbalance in classification.
+- **Dice Loss** — segmentation-friendly overlap metric.
+- **Contrastive Loss** — learn pairwise similarity (Siamese nets).
+- **Triplet Loss** — enforce anchor-positive vs negative separation.
+- **Cosine Embedding Loss** — similarity learning with cosine distance.
+- **Huber Loss** — robust regression, less sensitive to outliers.
+- **KL Divergence Loss** — probability distribution alignment.
+
+---
+
+## Created By
+
+Naga Adithya Kaushik (GenAIDevTOProd)
+
+## 📦 Installation
+
+```bash
+pip install torchlosses