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
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Python Toolkit for Causal and Probabilistic Reasoning
Message Passing Neural Networks for Molecule Property Prediction
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Fake Protocol Server
Python interface for igraph
Brian is a free, open source simulator for spiking neural networks.
An information security preparedness tool to do adversarial simulation.
Python package for graph neural networks in chemistry and biology
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
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Interactive network visualization in Python and Dash, powered by Cytoscape.js
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Easy link prediction tool
A tool for cell instance aware segmentation in densely packed 3D volumetric images
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Cryptographic Dataset Generation & Modelling Framework
Simulating Lorenz attractor on Golem.network