A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
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A PyTorch Library for Accelerating 3D Deep Learning Research
Official repository for the Boltz biomolecular interaction models
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Message Passing Neural Networks for Molecule Property Prediction
Chai-1, SOTA model for biomolecular structure prediction
A set of documented functions for simulating the performance of photovoltaic energy systems.
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
Fast NumPy array functions written in C
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Interactive network visualization in Python and Dash, powered by Cytoscape.js
⚗ A package useful for chemistry written in Python
A Free and Open Source Python Library for Multiobjective Optimization
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
Automated Attack Simulation in the Cloud, complete with detection use cases.
The open source air traffic simulator
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
cell detection in calcium imaging recordings
Python-centric Cookiecutter for Molecular Computational Chemistry Packages
A High-Level Abstraction Framework for Quantum Algorithms
A generic interface for the environmental perception of automated driving functions in virtual scenarios.
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.