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
Simple MPL-2.0-licensed C++ geometry processing library.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
ArrayFire: a general purpose GPU library.
Self hosted Spotify tracking dashboard
Manipulation and analysis of geometric objects
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
Official repository for the Boltz biomolecular interaction models
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.
N-D labeled arrays and datasets in Python
Fast and efficient CSS optimizer for node.js and the Web
C++ implementation of the Python Numpy library
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
3D visualization and mesh analysis for science and engineering
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
Math.NET Numerics
C++ tensors with broadcasting and lazy computing
Python library for loading and using triangular meshes.
The official sources for the RDKit library
Bayesian optimization in PyTorch
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.
g2o: A General Framework for Graph Optimization
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
A Laravel package to retrieve pageviews and other data from Google Analytics