Installation
Detailed installation guide covering multiple methods.
Method 1: Conda (Recommended)
bash
# Clone repository
git clone https://github.com/zimingttkx/AI-Practices.git
cd AI-Practices
# Create environment
conda create -n ai-practices python=3.10 -y
conda activate ai-practices
# Install dependencies
pip install -r requirements.txtMethod 2: Docker
bash
# Build image
docker build -t ai-practices .
# Run container (GPU)
docker run -it --gpus all -v $(pwd):/workspace ai-practicesGPU Setup
NVIDIA GPU
bash
# Install driver
sudo apt install nvidia-driver-535
# Verify
nvidia-smiPyTorch with CUDA
bash
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121TensorFlow with CUDA
bash
pip install tensorflow[and-cuda]Apple Silicon
bash
pip install tensorflow-macos tensorflow-metalVerification
python
import tensorflow as tf
import torch
print(f"TensorFlow: {tf.__version__}")
print(f"GPU: {tf.config.list_physical_devices('GPU')}")
print(f"PyTorch: {torch.__version__}")
print(f"CUDA: {torch.cuda.is_available()}")