Mason-McGough / MultivariableCalculusLinks
Demonstrations of the fundamental concepts from multivariable calculus
☆12Updated 7 years ago
Alternatives and similar repositories for MultivariableCalculus
Users that are interested in MultivariableCalculus are comparing it to the libraries listed below
Sorting:
- OpenAI gym environment for evolving morphologies of 2D virtual creatures.☆33Updated 2 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 3 years ago
- List of awesome JAX resources☆13Updated 2 years ago
- Cellular automata simulation powered by GPU☆15Updated 4 years ago
- Boids simulation using Python and Pyglet☆21Updated 8 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 3 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- ☆22Updated 4 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 3 years ago
- PyTorch implementation of algorithms in https://arxiv.org/abs/2207.09238☆14Updated 2 years ago
- Creating Artificial Life with Reinforcement Learning☆84Updated last year
- Official Implementation of Neural Boltzmann Machines☆25Updated last year
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 4 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Exploring the patterns created by reaction-diffusion equations☆126Updated 7 years ago
- This is the source code for the animations in the series "Visualizing Deep Learning"☆212Updated last year
- Experiments with Neural Ordinary Differential Equations on image and text classification tasks☆33Updated 6 years ago
- I clearly unravel how I came to invent the supermanifold hypothesis in deep learning, (a part of a system called 'thought curvature') in …☆20Updated 2 years ago
- Simulate Anderson localization and tight binding on graphs.☆14Updated last year
- Deep learning model for recognizing puzzle patterns in The Witness.☆28Updated 2 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆26Updated 10 months ago
- Introduction to Evolutionary Computation class☆33Updated 4 months ago
- Saraswati AI | Superhuman (AI) Teacher: All of Education, for All☆40Updated 4 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 5 months ago
- Animating factor graphs using manim, networkx and manimnx. Blog post: https://rajatvd.github.io/Factor-Graphs/☆14Updated 5 years ago
- Evolution of Discrete data with Reinforcement Learning☆13Updated 5 years ago
- A simple OpenAI Gym environment for Neural Architecture Search (NAS)☆30Updated 5 years ago
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆22Updated 4 years ago