Neuralangelo
NVlabs
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
1–16 / 62
Results: 62
NVlabs
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
hustvl
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
weslynn
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有te…
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
NVlabs
Instant neural graphics primitives: lightning fast NeRF and more
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
chemprop
Message Passing Neural Networks for Molecule Property Prediction
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
chainer
A flexible framework of neural networks for deep learning
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.