High-Performance Symbolic Regression in Python and Julia
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Updated
Jul 24, 2024 - Python
High-Performance Symbolic Regression in Python and Julia
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Simple swig bindings for the GNU Linear Programming Kit
Symbolic compilation of RDDL domains, Dynamic Bayes net (DBN) visualization, symbolic dynamic programming (SDP).
ToolChain using Symbolic Execution for Malware Analysis.
Modified module for easy LaTeX typesetting of algebraic expressions in symbolic form with automatic substitution and result computation.
Specify and synthesize systems using symbolic algorithms
A Python package for automata theory.
Counterfactual Reasoning VQA Dataset
Symbolic Geometric Algebra with E-Graphs
Functional tensors for probabilistic programming
A python framework for symbolic music generation, evaluation and analysis
Synthetic data generation for evaluating Large Language Models reasoning.
Safe Deep Symbolic Reinforcement Learning
Real Spherical Harmonics for PyTorch
Construction of GR(1) contracts for distributed systems (research prototype): <https://doi.org/10.1109/JPROC.2018.2834926> and <https://doi.org/10.1109/ACC.2016.7525009>
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