There are 5 repositories under probabilistic-models topic.
Bayesian inference with probabilistic programming.
Code for modelling estimated deaths and cases for COVID19.
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Machine Learning library for the web and Node.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Collection of probabilistic models and inference algorithms
[ICASSP 2024] This is the official code for "VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching"
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Simulate realistic trajectory data seen through sporadic reporting
Materials of the Nordic Probabilistic AI School 2019.
A repository for generative models
Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
Materials of the Nordic Probabilistic AI School 2021.
A library for discrete-time Markov chains analysis.
Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
A Python Library for Deep Probabilistic Modeling
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
A machine learning library for spacecraft collision avoidance
A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
C++ template library for probabilistic programming
A collection of Methods and Models for various architectures of Artificial Neural Networks
A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.
Separating Normalizing Flows code from Pyro and improving API
𝒫robabilistic modeling of RNA velocity ⬱