deepqmc
Deep learning quantum Monte Carlo for electrons in real space (by deepqmc)
nablaDFT
nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset (by AIRI-Institute)
| deepqmc | nablaDFT | |
|---|---|---|
| 3 | 1 | |
| 324 | 133 | |
| 0.3% | 3.8% | |
| 9.2 | 8.6 | |
| 3 months ago | 8 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
deepqmc
Posts with mentions or reviews of deepqmc.
We have used some of these posts to build our list of alternatives
and similar projects.
- DeepQMC: Variational quantum Monte Carlo electrons, using deep neural networks
- PauliNet – Deep Quantum Monte Carlo
-
Artificial intelligence solves Schrödinger's equation
Github: https://github.com/deepqmc/deepqmc
nablaDFT
Posts with mentions or reviews of nablaDFT.
We have used some of these posts to build our list of alternatives
and similar projects.
-
The world's largest quantum chemistry dataset to empower new materials design and drug discovery
https://github.com/AIRI-Institute/nablaDFT here's the dataset itself btw!
What are some alternatives?
When comparing deepqmc and nablaDFT you can also consider the following projects:
deepchem - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.
pyar - Python program for aggregation and reaction
thermoanalysis - Stand-alone thermochemistry in python for ORCA and Gaussian.
smac - SMAC: The StarCraft Multi-Agent Challenge
beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.