155 skills found · Page 1 of 6
NVlabs / Instant NgpInstant neural graphics primitives: lightning fast NeRF and more
omerbsezer / Reinforcement Learning Tutorial With DemoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
JuliaApproximation / ApproxFun.jlJulia package for function approximation
bgrimstad / SplinterLibrary for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB
f0uriest / InterpaxInterpolation and function approximation with JAX
polatory / PolatoryFast radial basis function interpolation and kriging for large scale data
savinay95n / Reinforcement Learning Algorithms And Dynamic ProgrammingReinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied to stabilize an inverted pendulum system and achieve optimal control. So essentially, the concept of Reinforcement Learning Controllers has been established. The Reinforcement Learning Controllers have been compared on the basis of performance and efficiency and they are separately compared with the classical Linear Quadratic Regulator Controller. Each of the RL controller have been integrated with a Swing up controller. A virtual switch toggles between the Swing up controller and the RL controller automatically, based on the value of the angular deviation theta with respect to the vertical plane. My research paper and my undergraduate thesis have been uploaded for reference. All the codes have also been uploaded.
primitivefinance / SolstatMath library written in solidity for statistical function approximations like the Normal Cumulative Distribution Function.
iman-sharifi-ghb / Function Approximation And Adaptive PID Gain Tuning Using Neural Networks And Reinforcement LearningSystem Identification and Self-Tuning PID Control using NN
jipolanco / BSplineKit.jlA collection of B-spline tools in Julia
JuliaIntervals / TaylorModels.jlRigorous function approximation using Taylor models in Julia
cemanil / LNetsLipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
iamjagdeesh / Artificial Intelligence Pac ManCSE 571 Artificial Intelligence
nymath / TorchqtmTorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
complexvariables / RationalFunctionApproximation.jlJulia package for approximation by rational functions
cognitoware / RoboticsProbabilistic state estimation for robotics applications. Bayes filters include Kalman, Markov chains; Gaussian, uniform and discrete mapping probability distributions representations; Distribution sampling, marginalization, multiplication; Distribution composition independent pairs and Bayes rule; Linear algebra, matrix, vector, inverse, square root, LU decomposition, Cholesky decomposition; piecewise linear approximation of functions; Sensor models, Markov action chains <X,U,X>.
rldotai / Rl AlgorithmsReinforcement learning algorithms
PaulFackler / CompEconCompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines for function approximation using polynomial, splines and other functional families, a set of numerical integration routines for general functions and for common probability distributions, general solvers for Ordinary Differential Equations (both initial and boundary value problems), routines for solving discrete and continuous time dynamic programming problems, and a general solver for financial derivatives (bonds, futures, options).
LinearFold / LinearPartitionLinear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities
rdeits / AdaptiveDistanceFields.jlAdaptively sampled distance fields in Julia
