V1.0.0

Feature

• Slater-Koster parameterization with customizable radial dependence.
• Orthogonal basis with the customizable number of basis and bond neighbors.
• Incorporation of local environmental corrections by neural networks.
• The gradient-based fitting algorithm based on autograd implementation.
• Flexibility on bases and XC functionals used in preparing the training labels.
• Ability to handle systems with SOC effects.
• Finite temperature simulations through integration with MD.
• Support NRL-TB parameterization with non-orthogonal basis @QG-phy #22

Test

• Add GitHub workflow for unit test @floatingCatty
• Add unit test for NRL-TB formula support @QG-phy

Docs

• Add online documents @floatingCatty @QG-phy