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Awesome Domain Adaptation Python Toolbox

Offline Policy Evaluation ⭐ 196

Implementations and examples of common offline policy evaluation methods in Python.

Pytorch Nce ⭐ 160

The Noise Contrastive Estimation for softmax output written in Pytorch

Mathematics Statistics For Data Science ⭐ 54

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Clustering with variational Bayes and population Monte Carlo

Impala Scalable Distributed Deep Rl With Importance Weighted Actor Learner Architectures ⭐ 17

Massively Parallel Simulator of Optical Coherence Tomography (OCT-MPS)

Reinforcement Learning ⭐ 11

Collection of reinforcement learning algorithms implementations with TensorFlow2

Stochastic first-passage time (FPT) simulations using importance sampling.

Ac Off Poc ⭐ 6

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning

Adaptive Importance Sampling Bn ⭐ 5

Experimental code: adaptive importance sampling for bayesian networks. -- I think I may have broken this code.

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