| DiffEqML/torchdyn |
1,187 |
|
0 |
1 |
over 2 years ago |
14 |
September 01, 2023 |
36 |
apache-2.0 |
Jupyter Notebook |
| A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods |
| luping-liu/PNDM |
244 |
|
0 |
0 |
almost 3 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (PNDM, PLMS | ICLR2022) |
| jambo6/neuralRDEs |
109 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021) |
| patrick-kidger/FasterNeuralDiffEq |
52 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021) |
| skoohy/GPT-PINN |
22 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| Generative Pre-Trained Physics-Informed Neural Networks Implementation |
| juliusberner/deep_kolmogorov |
18 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020) |
| Microno95/desolver |
10 |
|
0 |
0 |
over 4 years ago |
110 |
September 10, 2021 |
0 |
other |
Python |
| A Python library for solving Initial Value Problems using various numerical integration methods. |
