CLEANit / heatenginegym
A collection of heat engines, based on the OpenAI Gym environment framework for use with reinforcement learning applications.
☆15Updated 3 years ago
Alternatives and similar repositories for heatenginegym:
Users that are interested in heatenginegym are comparing it to the libraries listed below
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch☆12Updated 3 years ago
- Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, …☆29Updated 3 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 3 years ago
- ☆11Updated 3 years ago
- Official implementation of E(n)-equivariant Graph Neural Cellular Automata☆28Updated last year
- PointNet-based 3D deep learning model designed for decoding the structure-property relationship for generic crystalline materials.☆10Updated 3 years ago
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆58Updated 4 years ago
- Path integral based convolution and pooling☆29Updated 2 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 7 years ago
- Graph Convolutional Networks in JAX☆32Updated 4 years ago
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 4 years ago
- Official Implementation of "C5T5: Controllable Generation of Organic Molecules with Transformers"☆24Updated 3 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Graph convolutional neural networks for analyzing glycans [LEGACY; use glycowork implementation]☆17Updated 4 years ago
- Code for the results of the Paper:☆21Updated 6 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Implementation of "Learning Deep Generative Models"☆13Updated 5 years ago
- Canonical normalizing flows☆10Updated 5 years ago
- Deep learning of an embedding mapping using t-SNE as a loss function on top of a 3-hidden-layer neural network. Use pytorch !☆20Updated 7 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆73Updated 3 years ago
- Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some addition…☆56Updated 2 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 5 years ago
- Minimal PyTorch Library for Natural Evolution Strategies☆17Updated 3 years ago
- Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…☆13Updated 4 years ago
- Differentiable Euler Characteristic Transform☆17Updated 10 months ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated last year