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JuliaGraphs
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101 Skills
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Explore the skillJuliaGraphs
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Scalable and user friendly neural :brain: forecasting algorithms.
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✨Fast Coreference Resolution in spaCy with Neural Networks
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A simple interface for editing natural photos with generative neural networks.
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Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CG…
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Explore the skillAI 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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Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
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A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
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T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
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SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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NeuralProphet: A simple forecasting package