Version 3

Updates in Version 3.0.0

• Enhanced cross-platform compatibility: The codebase now works seamlessly on macOS, Windows, and Linux
• Improved device selection logic: Automatically detects and utilizes the available hardware (MPS, CUDA, or CPU) for training
• Updated dependencies: Added torchvision, torchaudio, matplotlib, and scipy as dependencies in requirements.txt and pyproject.toml
• Improved visualization: Enhanced visualize.py with better plot layout and cross-platform file paths
• Code cleanup and refactoring: Improved code structure and readability
• Added mathematical analysis: Introduced mathematical_analysis.py to analyze the effect of DropGrad on various optimizers
• Added benchmark visualizations: Introduced benchmark_visualizations.py to compare the behavior of DropGrad across optimizers and benchmarks