MathDL / MathDLBookCodeLinks
This website contains the python code accompanying the book "Mathematical Foundations of Deep Learning Models and Algorithms" by Konstantinos Spiliopoulos, Richard Sowers and Justin Sirignano and published by the AMS in 2025
☆40Updated 2 months ago
Alternatives and similar repositories for MathDLBookCode
Users that are interested in MathDLBookCode are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- How to build an ACP compliant agent that uses MCP as well!☆11Updated 9 months ago
- ☆217Updated 2 months ago
- A simple example of VAEs with KANs☆11Updated last year
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"☆14Updated last month
- Tracing the most recent advances in Physics Informedd LLMs.☆34Updated last year
- A Python implementation of Physics Informed Neural Networks for Black-Scholes Model☆23Updated 9 months ago
- A Python Library for Learning Non-Euclidean Representations☆68Updated 6 months ago
- Foundation Model for Physics Simulations☆110Updated 6 months ago
- A lightweight framework for building Physics-Informed Neural Networks (PINNs) with symbolic PDE definitions using SymPy and automatic dif…☆68Updated 4 months ago
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆42Updated 4 months ago
- Official Project Page for Deep Delta Learning (https://huggingface.co/papers/2601.00417)☆333Updated this week
- ☆14Updated 8 months ago
- build and benchmark deep research☆229Updated last week
- Source code for Activated LoRA☆23Updated 2 months ago
- ☆69Updated 2 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated last week
- Sequential Parameter Optimization in Python☆14Updated 3 weeks ago
- A minimal yet unstoppable blueprint for multi-agent AI—anchored by the rare, far-reaching “Multi-Agent AI DAO” (2017 Prior Art)—empowerin…☆32Updated last year
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆36Updated last year
- Conversational agents for engineering simulations with minimal human input using Microsoft AutoGen & GPT-4o.☆40Updated last year
- Guidelines on using Weights and Biases logging for deep learning applications on NERSC machines☆13Updated 2 years ago
- The Forward-Forward Algorithm for Drug Discovery☆33Updated 3 years ago
- You should use PySR to find scaling laws. Here's an example.☆33Updated 2 years ago
- A collection of various llm pruning implementations, training code for GPUs & TPUs, and evaluation script.☆59Updated last month
- AI Training Series Material☆41Updated 4 months ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 10 months ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- Schematics and diagrams that explain Artificial Intelligence☆14Updated 5 years ago