A comprehensive guide for developing, training, and managing neural networks using Flax NNX. Use when defining...
find ~/yonesuke/ -name "*.skill"
Techniques for 1D and 2D data interpolation using SciPy (CPU) and JAX/Interpax (GPU/Differentiable).
Essential tools for using JAX in machine learning and mathematical analysis, covering core concepts,...
Solves linear systems (Ax=b) using NumPy, JAX, PyTorch, and Lineax. Covers dense, sparse, and specialized...
Implements Manifold-Constrained Hyper-Connections (mHC) to solve residual connection issues using Doubly Stochastic Matrices.
Option pricing tools including Black-Scholes model, Greeks Calculation using Auto-Differentiation, and Exotic Options.
High-performance DataFrame library usage. Covers Lazy API, Wrangling, Aggregation.
A skill for defining and training Multi-Layer Perceptrons (MLPs) using Flax NNX.
Fast Python package installer and uninstaller. Manages projects, scripts, python versions, and tools.