Migrate module setup to uv

SETUP.md

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+# Setup
+## Environment Setup Guide
+Before using this repo, make sure you’ve completed the [environment setup guide](https://github.com/UofT-DSI/onboarding/blob/main/environment_setup/README.md), which installs the core tools you’ll need for this module, such as:
+
+- Git  
+- Git Bash (for Windows)  
+- Visual Studio Code
+- UV
+
+## Necessary Packages
+The Deep Learning module uses its own isolated environment called `deep-learning-env` so that packages don’t conflict with other projects. 
+We use UV to create this environment, activate it, and install the required packages listed in the module’s `pyproject.toml`.  
+This setup only needs to be done **once per module**, after that, you just activate the environment whenever you want to work in this repo.  
+
+Open a terminal (macOS/Linux) or Git Bash (Windows) in this repo, and run the following commands in order:
+
+1. Create a virtual environment called `deep-learning-env`:
+    ```
+    uv venv deep-learning-env --python 3.11
+    ```
+
+2. Activate the environment:
+    - for macOS/Linux:
+        ```
+        source deep-learning-env/bin/activate
+        ```
+
+    - for windows (git bash):    
+        ```
+        source deep-learning-env/Scripts/activate
+        ```
+
+3. Install all required packages from the [pyproject.toml](./pyproject.toml)
+    ```bash
+    uv sync --active
+    ```
+
+## Environment Usage
+In order to run any code in this repo, you must first activate its environment.
+- for macOS/Linux:
+    ```
+    source deep-learning-env/bin/activate
+    ```
+
+- for windows (git bash):    
+    ```
+    source deep-learning-env/Scripts/activate
+    ```
+
+When the environment is active, your terminal prompt will change to show:  
+```
+(deep-learning-env) $
+```
+This is your **visual cue** that you’re working inside the right environment.  
+
+When you’re finished, you can deactivate it with:  
+```bash
+deactivate
+```
+
+> **👉 Remember**   
+> Only one environment can be active at a time. If you switch to a different repo, first deactivate this one (or just close the terminal) and then activate the new repo’s environment.
+
+---
+
+For questions or issues, please contact the Deep Learning Module learning support team or email courses.dsi@utoronto.ca.

pyproject.toml

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+[project]
+name = "deep-learning-env"
+version = "0.1.0"
+requires-python = ">=3.11"
+dependencies = [
+    "ipykernel>=6.30.1",
+    "h5py>=3.14.0",
+    "ipython>=9.5.0",
+    "keras>=3.11.3",
+    "matplotlib>=3.10.6",
+    "numpy>=2.3.3",
+    "plotly>=6.3.0",
+    "scikit-image>=0.25.2",
+    "scikit-learn>=1.7.2",
+    "seaborn>=0.13.2",
+    "sequence>=0.8.0",
+    "tensorflow>=2.20.0",
+    "torch>=2.8.0",
+    "torchvision>=0.23.0",
+    "umap>=0.1.1",
+]