Numdl Matlab
MATLAB code for Numerical Methods for Deep Learning class
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Torchdyn | 1,187 |  | 1 | 4 months 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 | ||||||||||
| Pydens | 242 | 1 | 10 months ago | 5 | January 20, 2022 | 14 | apache-2.0 | Jupyter Notebook | ||
| PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks | ||||||||||
| Neuralrdes | 109 | 3 years ago | Jupyter Notebook | |||||||
| Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021) | ||||||||||
| Quant Notes | 101 | 5 years ago | Jupyter Notebook | |||||||
| Quantitative Interview Preparation Guide, updated version here ==> | ||||||||||
| Fasterneuraldiffeq | 52 | 3 years ago | apache-2.0 | Python | ||||||
| Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021) | ||||||||||
| Diffeqml Research | 48 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
| This repository contains code released by DiffEqML Research | ||||||||||
| Numdl Coursenotes | 40 | 3 years ago | 1 | gpl-3.0 | TeX | |||||
| Course notes for graduate-level class on numerical methods for deep learning | ||||||||||
| Why Train When You Can Optimize | 24 | a year ago | Makefile | |||||||
| Learn multi-variable optimization by creating a drawing assistant. No deep learning required! | ||||||||||
| Gpt Pinn | 22 | 6 months ago | Python | |||||||
| Generative Pre-Trained Physics-Informed Neural Networks Implementation | ||||||||||
| Pararealml | 19 | a year ago | 3 | January 08, 2023 | mit | Python | ||||
| A machine learning boosted parallel-in-time differential equation solver framework. | ||||||||||
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