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Python implementation of stacked generalization classifier. Plays nice with sklearn.
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
SLOSH-ML is a Matlab graphical user interface designed to analyze rocket propellant sloshing in space launch vehicles
A light weight adjoint solver for first order explicit ode system. Able to compute the value of states at t_end, the variable of interest and its derivative w.r.t input parameters.
Use the adjoint method and gradient descent to find the parameters of an ODE
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing
This is an OpenFOAM implementation of the SST-CND model described in https://arxiv.org/ftp/arxiv/papers/2402/2402.16355.pdf
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
Can we extract alpha from news articles?
Practice your pandas skills!
pytorch; mask language model ; bert
Natural Language Processing Tutorial for Deep Learning Researchers
Use different orders of N-gram model to play Hangman game.
Riemann Solvers and Numerical Methods for Fluid Dynamics.
Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
General flow field prediction for data-based optimization
Source and vortex panel method codes referenced in my YouTube videos.
Graph Neural Network Library for PyTorch
A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.