JAX implementations of core Deep RL algorithms
reinforcement-learning deep-learning deep-reinforcement-learning flax deepmind mpo sac actor-critic maximum-a-posteriori-estimation mujoco jax td3 soft-actor-critic
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- Python
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maximum-a-posteriori-estimation
Here are 32 public repositories matching this topic...
High Performance Computing (HPC) and Signal Processing Framework
simulation signal-processing linear-algebra mathematics data-structures trellis convolution filters fft digital-communication error-correcting-codes viterbi convolutional-codes maximum-a-posteriori-estimation modulation qam-modulation bcjr bpsk rrcosine mlse
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- C++
A Python implementation of Naive Bayes from scratch.
python data-mining naive-bayes python3 naive-bayes-classifier classification naive-algorithm data-mining-algorithms naive-bayes-algorithm naivebayes naive-bayes-classification naive maximum-likelihood-estimation maximum-a-posteriori-estimation log-likelihood naive-bayes-tutorial naive-bayes-implementation laplace-smoothing
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- Python
Bayesian Statistics MOOC by Coursera - Solutions in Python
monte-carlo linear-regression markov-chain bayesian-inference mcmc pymc3 bayesian-statistics markov-chain-monte-carlo maximum-a-posteriori-estimation gibbs mixture-models
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- Jupyter Notebook
🐙: Maximum likelihood model estimation using scipy.optimize
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- Python
“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.
image-reconstruction optimization image-processing convolution regularization graph-cut image-segmentation autocorrelation disparity image-restoration deconvolution point-spread-function maximum-a-posteriori-estimation deblurring image-deblurring blurred-images kurtosis space-variant psf-estimation deblurring-algorithm
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A Python package for Poisson joint likelihood deconvolution
pytorch image-analysis deconvolution gamma-ray-astronomy maximum-a-posteriori-estimation x-ray-astronomy
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- Python
NTHU EE6550 Machine Learning Course Projects (include Maximum A Posteriori Estimation, Linear Regression, Neural Network Image Classification)
machine-learning neural-network image-classification nthu maximum-a-posteriori-estimation bayesian-linear-regression
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- Jupyter Notebook
A MAP-MRF Framework for Image Denoising
map matlab mri bayesian bayesian-inference image-denoising markov-random-field mrf maximum-a-posteriori-estimation denoising huber rician
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- MATLAB
Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.
linear-regression generative-adversarial-network naive-bayes-classifier neural-networks expectation-maximization gaussian-mixture-models logistic-regression kernel-methods unsupervised-learning autoencoders principal-component-analysis maximum-likelihood-estimation maximum-a-posteriori-estimation k-means-clustering kernel-pca gaussian-bayesian-networks
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- Python
Probabilistic Graphical Models for Stereo Disparity Map Reconstruction by Factor Graph and Belief Propagation Maximum A Posteriori
python computer-vision probabilistic-graphical-models disparity-map belief-propagation maximum-a-posteriori-estimation stereo-disparity
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- Python
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
matlab logistic-regression ridge-regression keras-models kmeans-clustering multilayer-perceptron-network radial-basis-function extreme-learning-machine stochastic-gradient-descent maximum-likelihood-estimation maximum-a-posteriori-estimation iris-dataset cnn-architecture holdout likelihood-ratio-test kfold-cross-validation xor-neural-network stacked-autoencoder and-gate-implementation sklearn-metrics
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- Jupyter Notebook
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
machine-learning optimization regression bayesian-methods least-squares fitting parameter-estimation maximum-a-posteriori-estimation bayesian-neural-networks surrogate-based-optimization empirical-bayes fitting-curve least-squares-regression
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- Python
This repo contains implementations from Statistical Pattern Recognition Operations and Theories using numpy and matplotlib.
statistics maximum-likelihood bayesian-statistics eigenvalues maximum-a-posteriori-estimation spr eigenvector paterns bayes-risk statistic-modeling
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- Jupyter Notebook
It is a jupyter notebook which examine the varience and bias parameters of maximum likelihood and maximum a posteriori approaches for biomedical imaging.
simulation notebook jupyter-notebook estimation maximum-likelihood bias maximum-a-posteriori-estimation
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- Jupyter Notebook
Statistics and Machine Learning in depth analysis with Tensorflow Probability
monte-carlo bayesian hamiltonian-monte-carlo distributions maximum-likelihood-estimation maximum-a-posteriori-estimation tensorflow-probability tensorflow2
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- Python
An inference engine for Markov Logic
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- HTML
Machine Learning: Maximum Likelihood Estimation (MLE)
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- Jupyter Notebook
This repository consists of the codes that I wrote for implementing various pattern recognition algorithms
classification pattern-recognition bayes-classifier k-nearest-neighbours maximum-a-posteriori-estimation least-square-regression
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- Python
An implementation of "Exact Maximum A Posteriori Estimation for Binary Images" (D. Greig, B. Porteous and A. Seheult)
python networkx gaussian-mixture-models segmentation bayesian graph-cut bayesian-inference image-segmentation gmm markov-random-field mrf maximum-a-posteriori-estimation ford-fulkerson minimum-cut
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- Jupyter Notebook
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