Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
- cvpr2022
- diffusion-models
- inpainting
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Bayesian inference with probabilistic programming.
- machine-learning
- probabilistic-programming
- julia-language
- artificial-intelligence
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
- bayesian-inference
- probabilistic-programming
- graphical-models
- generative-models
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
- python
- forecasting
- bayesian
- exponential-smoothing
Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Probabilistic data structures for processing continuous, unbounded streams.
- bloom-filter
- go
- stable-bloom-filters
- cuckoo-filter
The Python ensemble sampling toolkit for affine-invariant MCMC
- python
- mcmc
- mcmc-sampler
- probabilistic-data-analysis
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Algorithm is a library of tools that is used to create intelligent applications.
- algorithm
- algorithms
- data-structures
- data-structure
A probabilistic data structure service and storage
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
Probabilistic Context Free Grammar (PCFG) password guess generator
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
Probabilistic cell segmentation for in situ spatial transcriptomics
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
- time-series-analysis
- model-selection
- bayesian-inference
- anomaly-detection
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
- probabilistic-programming
- neural-network
- tensorflow
- keras-tensorflow
Probabilistic set data structure
- bloom-filter
- data-structures
- go
Monadic effects and equational reasoning in Rocq
- monads
- monad-transformers
- probabilistic-programming
- nondeterminism
Erlang nif for xor_filter. 'Faster and Smaller Than Bloom and Cuckoo Filters'.
- xor-filter
- bloom-filter
- erlang-nif
- erlang
Probabilistic computation in Idris
Combinatory Categorial Grammar (CCG): Full set CCG, and probabilistic CCG
lecture notes for probabilistic topic models using ipython notebook
Sliding-window and regular top-K sketches, based on HeavyKeeper
- go
- golang
- heavy-hitters
- probabilistic-data-structures