Bayesian inference with probabilistic programming.
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Updated
Jun 2, 2024 - Julia
Bayesian inference with probabilistic programming.
LinguaPhylo: A language for describing, visualising and simulating probabilistic phylogenetic models
Augmenting engineering workflows with Probabilistic Machine Learning
A unified framework for tabular probabilistic regression and probability distributions in python
An R package for detecting cell-to-cell variably methylated regions (VMRs) from single-cell bisulfite sequencing.
Python package for statistical modelling of lymphatic metastatic spread in head & neck cancer.
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
Codes and methods for sensitivity analysis on models governed by stochastic processes and random variables
Project for Computational Physics 2 - 2024: The goal of this computational project is to simulate and evaluate complex systems using Monte Carlo simulation techniques, generating probabilistic predictions and evaluating uncertainty.
Creating a neural network from scratch without the use of libraries like TensorFlow, Keras, PyTorch, etc. Only using python math libraries.
Simulations of the first passage percolation on the square lattice
Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
This project explores the generation of alpha signals for Qualcomm Incorporated (QCOM) stock using a stacked Long Short-Term Memory (LSTM) model on 30-minute timeframes. The aim is to accurately predict short-term price movements and capitalise on trend and reversal patterns.
Produire, prédire et décider grâce aux solveurs Python et Excel, aux lois de probabilité mathématiques et au Machine Learning (Recherche opérationnelle)
Python library for classifier calibration
Machine learning models implemented in BigQuery sql.
𝒫robabilistic modeling of RNA velocity ⬱
A framework for analyzing Yu-Gi-Oh! opening hands.
Type stable implementation of a Bayesian network.
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