A deep learning package for many-body potential energy representation and molecular dynamics
- deep-learning
- molecular-dynamics
- deepmd
- lammps
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A deep learning package for many-body potential energy representation and molecular dynamics
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Code repository for "TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations"
Learning Heterogeneous Tactile Representation for General Dexterous Manipulation
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
The PASS dataset: pretrained models and how to get the data
Builds json representation of PDF malware sample