Updated 9 months ago
https://github.com/cedrickchee/neural-network-in-13-lines
A neural network in 13 lines of Python.
Updated 9 months ago
pyrddlgym-jax
JAX compilation of RDDL description files, and a differentiable planner in JAX.
automatic-differentiation
backpropagation
control
controller
differentiable-simulations
gradient-based-optimisation
jax
model-based-control
nonlinear-control
nonlinear-dynamics
nonlinear-optimization
planning
planning-algorithms
planning-domain-definition-language
policy-gradient
rddl
reinforcement-learning
sgd
sgd-optimizer
stochastic-gradient-descent
Updated 9 months ago
https://github.com/cheind/py-cgraph
:tangerine: Intro to symbolic computation in Python including applications to function optimization, physics simulation and more. Includes notebooks on back-propagation, auto-diff and more.