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Probabilistic unetA U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
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Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
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Bayesian Neural NetworksPytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
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Deepbayes 2018Seminars DeepBayes Summer School 2018
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Wiki DetoxSee https://meta.wikimedia.org/wiki/Research:Modeling_Talk_Page_Abuse
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PytextrankPython implementation of TextRank for phrase extraction and summarization of text documents
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Pandaspandas cheetsheet
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Senato.pyA scraper for the data made available by the Italian Senate, and a cluster analysis to detect similar amendments.
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Perfil PoliticoA platform for profiling public figures in Brazilian politics
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NotebooksCurated Notebooks from STScI
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Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
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Dstl unetDstl Satellite Imagery Feature Detection
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Midi DatasetCode for creating a dataset of MIDI ground truth
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Teach Me Quantum⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX
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Abstractive Text SummarizationPyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.
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VcnVolumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
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Neural Painters PytorchPyTorch library for "Neural Painters: A learned differentiable constraint for generating brushstroke paintings"
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ObjectdetectionSome experiments with object detection in PyTorch
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BlogSource code for my personal blog
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