smac VS nablaDFT

Compare smac vs nablaDFT and see what are their differences.

nablaDFT

nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset (by AIRI-Institute)
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smac nablaDFT
2 1
1,001 133
2.3% 3.8%
3.8 8.6
2 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.

smac

Posts with mentions or reviews of smac. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-09.

nablaDFT

Posts with mentions or reviews of nablaDFT. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing smac and nablaDFT you can also consider the following projects:

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thermoanalysis - Stand-alone thermochemistry in python for ORCA and Gaussian.

IC3Net - Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

pyar - Python program for aggregation and reaction

F2HabitBreaker - Overlay to stop me clicking the All Army hotkey in SC2

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.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down: