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    • Code example for the paper "Differentiating through Stochastic Differential Equations: A Primer"
      Python
      MIT License
      1400Updated Jan 14, 2026Jan 14, 2026
    • TeX
      MIT License
      15100Updated Dec 16, 2025Dec 16, 2025
    • MFGnet.jl

      Public
      A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
      Julia
      MIT License
      103250Updated Nov 7, 2025Nov 7, 2025
    • rampde

      Public
      Mixed precision Neural ODE solvers (RAMPDE) for PyTorch
      Python
      MIT License
      3800Updated Oct 29, 2025Oct 29, 2025
    • PCP-Map

      Public
      PyTorch implementation of the PCP-Map approach.
      Python
      MIT License
      1300Updated Jan 10, 2025Jan 10, 2025
    • COT-Flow

      Public
      PyTorch implementation of the COT-Flow approach
      Python
      MIT License
      18200Updated Jan 10, 2025Jan 10, 2025
    • OT-Flow

      Public
      PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
      Python
      MIT License
      185702Updated Jul 25, 2024Jul 25, 2024
    • NeuralSOC

      Public
      PyTorch codes to reproduce results from Li et al. 2023.
      Python
      MIT License
      0500Updated Apr 29, 2024Apr 29, 2024
    • PyHySCO

      Public
      Pytorch toolbox for Hyperelastic Susceptibility Artifact Correction
      Python
      GNU General Public License v3.0
      2410Updated Apr 22, 2024Apr 22, 2024
    • FBSNNs

      Public
      Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
      TeX
      MIT License
      77300Updated Sep 9, 2023Sep 9, 2023
    • A pytorch toolbox designed for experimentation using a generalization of the Resnet design.
      Python
      MIT License
      01502Updated Jul 6, 2023Jul 6, 2023
    • PyTorch Code used in 'Introduction to Deep Generative Modeling'
      Python
      MIT License
      105410Updated Apr 10, 2021Apr 10, 2021
    • Course notes for graduate-level class on numerical methods for deep learning
      TeX
      GNU General Public License v3.0
      24200Updated Mar 22, 2021Mar 22, 2021
    • PNKH-B

      Public
      MATLAB Implementation of our Projected Newton-Krylov Method for Bound-Constrained Optimization
      MATLAB
      MIT License
      3800Updated Dec 11, 2020Dec 11, 2020
    • HybridRFM

      Public
      Code accompanying the paper 'Avoiding The Double Descent Phenomenon of Random FeatureModels Using Hybrid Regularization'
      MATLAB
      MIT License
      1000Updated Dec 11, 2020Dec 11, 2020
    • code for "Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows".
      Python
      MIT License
      143800Updated Jul 28, 2020Jul 28, 2020
    • grad-cnns

      Public
      Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"
      TeX
      12000Updated Jan 26, 2020Jan 26, 2020
    • CS584.jl

      Public
      Julia Environment for Numerical Methods for Deep Learning Class
      Julia
      MIT License
      0100Updated Jan 15, 2020Jan 15, 2020