Bayesian inference with probabilistic programming.

Code for modelling estimated deaths and cases for COVID19.

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

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

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]

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

Simulate realistic trajectory data seen through sporadic reporting

Materials of the Nordic Probabilistic AI School 2019.

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

A repository for generative models

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

Multi-Touch Attribution

Materials of the Nordic Probabilistic AI School 2021.