RancyChepchirchir

bark-with-voice-clone

🔊 Text-prompted Generative Audio Model - With the ability to clone voices

course-content

NMA Computational Neuroscience course

pymc-resources

PyMC educational resources

Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

scGPT

Statistical-Rethinking-with-Python-and-PyMC3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

numerical-tours

Numerical Tours of Signal Processing

course-content-dl

NMA deep learning course

uni2ts

[ICML2024] Unified Training of Universal Time Series Forecasting Transformers

chebfun

Chebfun: numerical computing with functions.

GML2023

Graph Machine Learning course, Xavier Bresson, 2023

Transformers_Are_What_You_Dont_Need

The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

MathematicalEngineeringDeepLearning

Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org

Long-Context-Data-Engineering

Implementation of paper Data Engineering for Scaling Language Models to 128K Context

pydens

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

Navier-Stokes-Numerical-Solution-Using-FDM-FVM-LBM-Solver-Python-Scripting

Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Method.

finnts

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

NeuralSolvers

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.

Numerical-Analysis-Python

Python notebooks for Numerical Analysis

BAP3

Figures and code examples from Bayesian Analysis with Python (third edition)

algovision

Differentiable Algorithms and Algorithmic Supervision.

heat-pinn

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

Physics-informed-neural-network-in-JAX

Example problems in Physics informed neural network in JAX

greenlearning

Learning Green's functions of partial differential equations with deep learning.

AugmentTS

AugmentTS :: Time Series Data Augmentation using Deep Generative Models

gdl_tutorial_turinginst

Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute

MLJC-UniTo-ProjectX-2020-public

Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)

burger-pinn

A Physics-Informed Neural Network for solving Burgers' equation.

LearningNLP

Some Tutorials & in depth analysis of NLP's algorithms with an ethical flavour

swahili_llama