Bayesian inference with probabilistic programming.

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Code for modelling estimated deaths and cases for COVID19.

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Machine Learning library for the web and Node.

Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.

[ICASSP 2024] This is the official code for "VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching"

Sample code for the Model-Based Machine Learning book.

Collection of probabilistic models and inference algorithms

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

Simulate realistic trajectory data seen through sporadic reporting

Visual Inertial Odometry (VIO) / Simultaneous Localization & Mapping (SLAM) using iSAM2 framework from the GTSAM library.

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Materials of the Nordic Probabilistic AI School 2019.

Multi-Touch Attribution

A repository for generative models

Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2