CLEANit / heatenginegymLinks
A collection of heat engines, based on the OpenAI Gym environment framework for use with reinforcement learning applications.
☆15Updated 4 years ago
Alternatives and similar repositories for heatenginegym
Users that are interested in heatenginegym are comparing it to the libraries listed below
Sorting:
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆58Updated 5 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆76Updated 4 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 4 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 7 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆97Updated 4 years ago
- Official Python implementation of Delaunay Component Analysis algorithm☆13Updated 3 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42Updated 3 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 5 years ago
- A molecule generation benchmarking platform☆13Updated 7 years ago
- Path integral based convolution and pooling☆30Updated 2 years ago
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 5 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆30Updated 3 years ago
- Optimizing Chemical Reactions with Deep Reinforcement Learning☆120Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"☆39Updated last year
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 6 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Experiments with Message Passing GNNs in C++ and PyTorch.☆26Updated last year
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 6 years ago
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆31Updated last year
- UCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)☆16Updated 8 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models☆29Updated last year
- Synthetic coordinates for GNNs, as proposed in "Directional Message Passing on Molecular Graphs via Synthetic Coordinates" (NeurIPS 2021)☆32Updated 2 years ago
- End-to-end RNA Design using deep reinforcement learning☆71Updated 3 years ago
- Reinforcement learning applied to digital quantum simulations☆19Updated 6 years ago
- Replication attempt for the Protein Folding Model described in https://www.biorxiv.org/content/10.1101/2021.08.02.454840v1☆37Updated 3 years ago
- Molecular dynamics trajectory analysis in Tensorflow☆37Updated 8 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, …☆39Updated 4 years ago