Showing 21-40 of 45 projects
A Python library for natural gradient boosting, a powerful technique for probabilistic prediction.
A general-purpose probabilistic programming system for building AI and ML applications.
Official code for a fast ODE solver for diffusion probabilistic model sampling in 10 steps
Official implementation of a paper on expressive talking head generation using diffusion models.
A curated list of awesome PyTorch libraries, models, and tutorials in Chinese translation.
RedisBloom is a Redis module that provides probabilistic data structures like Bloom filters for efficient data storage and querying.
A neurosymbolic perspective on large language models for AI-powered coding and development
Performant probabilistic data structures for processing continuous, unbounded streams in Go.
A Python library for deep probabilistic analysis of single-cell and spatial omics data.
Probabilistic Modeling Toolkit for Matlab/Octave
An ensemble sampling toolkit for affine-invariant Markov Chain Monte Carlo (MCMC) in Python.
High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.
A Python library for probabilistic time series forecasting using large language models like LLaMA.
A comprehensive Python library for time series forecasting using machine learning models.
A PyTorch-based probabilistic time series forecasting framework with advanced models like DeepAR, LSTNet, and N-BEATS.
A C++ library for solving exercises in the book 'Probabilistic Robotics' for autonomous vehicle and robotics development.
Physics-based Deep Learning Book v0.3 - a comprehensive resource for AI developers
NeRF-SLAM: Real-time dense monocular SLAM with neural radiance fields and probabilistic volumetric fusion.
Matcha-TTS is a fast and efficient text-to-speech (TTS) architecture using a conditional flow matching approach.
Variational autoencoder implementation in TensorFlow and PyTorch, including inverse autoregressive flow.
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