AlphaTree Graphic Deep Neural Network
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…
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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…
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
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.
chemprop
Message Passing Neural Networks for Molecule Property Prediction
fangwei123456
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
jeshraghian
Deep and online learning with spiking neural networks in Python
digantamisra98
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
NVlabs
Instant neural graphics primitives: lightning fast NeRF and more
gboeing
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
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