PyTorch

Vector Quantization: observation, codes, and diff in Machine Learning Models

Quantum Convex Optimization with PennyLane

Convex Optimization Techniques in PyTorch

Variational Quantum Circuits (VQCs): Machine Learning Convexity Optimization with PyTorch

k-fold cross-validation: a sparse prosumer guide with PyTorch and NumPy

PyTorch and Reverse-Mode Auto-Differentiation: Basics to 2025

Dynamic Quantized Kernels in PyTorch: Unlocking Efficient Deep Learning Models

PyTorch, TensorBoard, NumPy, and Matplotlib: Comparing Their Roles in Deep Learning and Future Potential

Autocast and GradScaler in PyTorch: Revolutionizing Mixed Precision Training for the Future