https://www.bibsonomy.org/user/hotho/learningBibSonomy RSS Feed for /user/hotho/learningData Protection in the Context of Big Data and AIhttps://predictiveprivacy.org/hotho2022-10-13T10:56:55+02:00Datenschutz big data deep learning machine ml predictive privacy <span itemprop="description">Data Protection in the Context of Big Data and AI</span>Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. - GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.https://github.com/divamgupta/diffusionbee-stable-diffusion-uihotho2022-10-08T10:57:59+02:00deep diffusion generator image learning stable <span itemprop="description">Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. - GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.</span>https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdfhotho2022-06-21T16:21:39+02:00Anzahl Bilder bee cv image learning model report <a itemprop="url" data-versiondate="2022-06-21T16:21:39+02:00" href="https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf" rel="nofollow" class="description-link">https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf</a>https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/hotho2022-05-10T16:23:15+02:00LM Literaturverwaltung big deep language learning model <a itemprop="url" data-versiondate="2022-05-10T16:23:15+02:00" href="https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/" rel="nofollow" class="description-link">https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/</a>https://www.heise.de/news/540-Milliarden-Parameter-Googles-KI-System-kann-Arithmetik-und-erkennt-Humor-6664503.htmlhotho2022-04-25T11:46:43+02:00AI KI big deep google learning model <a itemprop="url" data-versiondate="2022-04-25T11:46:43+02:00" href="https://www.heise.de/news/540-Milliarden-Parameter-Googles-KI-System-kann-Arithmetik-und-erkennt-Humor-6664503.html" rel="nofollow" class="description-link">https://www.heise.de/news/540-Milliarden-Parameter-Googles-KI-System-kann-Arithmetik-und-erkennt-Humor-6664503.html</a>https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.htmlhotho2022-03-26T16:49:36+01:00KG LM data dataset deep integration learning model <a itemprop="url" data-versiondate="2022-03-26T16:49:36+01:00" href="https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.html" rel="nofollow" class="description-link">https://ai.googleblog.com/2021/05/kelm-integrating-knowledge-graphs-with.html</a>https://www.heise.de/tests/Machine-Learning-TensorFlow-Benchmarks-auf-MacBooks-mit-M1-Pro-und-M1-Max-6328476.html?seite=allhotho2022-03-13T18:51:49+01:00deep learning m1 mac macbook machine network neural nn tensorflow <a itemprop="url" data-versiondate="2022-03-13T18:51:49+01:00" href="https://www.heise.de/tests/Machine-Learning-TensorFlow-Benchmarks-auf-MacBooks-mit-M1-Pro-und-M1-Max-6328476.html?seite=all" rel="nofollow" class="description-link">https://www.heise.de/tests/Machine-Learning-TensorFlow-Benchmarks-auf-MacBooks-mit-M1-Pro-und-M1-Max-6328476.html?seite=all</a>https://github.com/sebastianruder/NLP-progresshotho2021-03-02T11:45:08+01:00nlp progress deep learning paper übersicht survey <a itemprop="url" data-versiondate="2021-03-02T11:45:08+01:00" href="https://github.com/sebastianruder/NLP-progress" rel="nofollow" class="description-link">https://github.com/sebastianruder/NLP-progress</a>https://pythonawesome.com/must-read-papers-on-pre-trained-language-models/hotho2020-09-12T11:17:07+02:00bert elmo language model deep learning ml pre-trained <a itemprop="url" data-versiondate="2020-09-12T11:17:07+02:00" href="https://pythonawesome.com/must-read-papers-on-pre-trained-language-models/" rel="nofollow" class="description-link">https://pythonawesome.com/must-read-papers-on-pre-trained-language-models/</a>https://github.com/facebookresearch/detectron2hotho2020-07-06T10:31:04+02:00image segmentation network cnn deep learning <a itemprop="url" data-versiondate="2020-07-06T10:31:04+02:00" href="https://github.com/facebookresearch/detectron2" rel="nofollow" class="description-link">https://github.com/facebookresearch/detectron2</a>https://github.com/f90/Wave-U-Nethotho2020-07-06T10:27:52+02:00audio deep learning unet <a itemprop="url" data-versiondate="2020-07-06T10:27:52+02:00" href="https://github.com/f90/Wave-U-Net" rel="nofollow" class="description-link">https://github.com/f90/Wave-U-Net</a>https://www.davidsilver.uk/teaching/hotho2020-06-02T08:59:47+02:00course learning reinforcement teaching <a itemprop="url" data-versiondate="2020-06-02T08:59:47+02:00" href="https://www.davidsilver.uk/teaching/" rel="nofollow" class="description-link">https://www.davidsilver.uk/teaching/</a>http://phontron.com/class/nn4nlp2019/hotho2020-06-02T08:57:52+02:00deep language learning ml nlp <a itemprop="url" data-versiondate="2020-06-02T08:57:52+02:00" href="http://phontron.com/class/nn4nlp2019/" rel="nofollow" class="description-link">http://phontron.com/class/nn4nlp2019/</a>Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications? Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly nuanced success story is the Transformer architecture, which has taken the NLP industry by storm. Through this post, I want to establish links between Graph Neural Networks (GNNs) and Transformers. I’ll talk about the intuitions behind model architectures in the NLP and GNN communities, make connections using equations and figures, and discuss how we could work together to drive progress.https://graphdeeplearning.github.io/post/transformers-are-gnns/hotho2020-03-10T15:48:11+01:00deep graph learning network neural nn transformer <span itemprop="description">Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications? Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly nuanced success story is the Transformer architecture, which has taken the NLP industry by storm. Through this post, I want to establish links between Graph Neural Networks (GNNs) and Transformers. I’ll talk about the intuitions behind model architectures in the NLP and GNN communities, make connections using equations and figures, and discuss how we could work together to drive progress.</span>https://ml-research.github.io/papers/ads2019dilk_tutorial.pdfhotho2019-11-08T10:05:39+01:00ai deep ki learning slides tutorial <a itemprop="url" data-versiondate="2019-11-08T10:05:39+01:00" href="https://ml-research.github.io/papers/ads2019dilk_tutorial.pdf" rel="nofollow" class="description-link">https://ml-research.github.io/papers/ads2019dilk_tutorial.pdf</a>https://www.plattform-lernende-systeme.de/files/Downloads/Publikationen/AG1_Whitepaper_280619.pdfhotho2019-10-03T21:12:41+02:00Germany ai deep ki learning machine ml paper white <a itemprop="url" data-versiondate="2019-10-03T21:12:41+02:00" href="https://www.plattform-lernende-systeme.de/files/Downloads/Publikationen/AG1_Whitepaper_280619.pdf" rel="nofollow" class="description-link">https://www.plattform-lernende-systeme.de/files/Downloads/Publikationen/AG1_Whitepaper_280619.pdf</a>https://www.sentiance.com/2018/05/03/venue-mapping/hotho2019-06-30T15:30:30+02:00embeddings learning loc2vec location representation <a itemprop="url" data-versiondate="2019-06-30T15:30:30+02:00" href="https://www.sentiance.com/2018/05/03/venue-mapping/" rel="nofollow" class="description-link">https://www.sentiance.com/2018/05/03/venue-mapping/</a>https://perso.univ-st-etienne.fr/sebbanma/hotho2019-06-26T22:54:32+02:00learning metric survey <a itemprop="url" data-versiondate="2019-06-26T22:54:32+02:00" href="https://perso.univ-st-etienne.fr/sebbanma/" rel="nofollow" class="description-link">https://perso.univ-st-etienne.fr/sebbanma/</a>https://people.cs.kuleuven.be/~sebastijan.dumancic/RelationalDeepLearning/index.htmlhotho2019-03-27T17:36:50+01:00bridging deep learning relational toread <a itemprop="url" data-versiondate="2019-03-27T17:36:50+01:00" href="https://people.cs.kuleuven.be/~sebastijan.dumancic/RelationalDeepLearning/index.html" rel="nofollow" class="description-link">https://people.cs.kuleuven.be/~sebastijan.dumancic/RelationalDeepLearning/index.html</a>Distributed training framework for TensorFlow, Keras, PyTorch, and MXNet. - horovod/horovodhttps://github.com/horovod/horovodhotho2019-02-22T15:16:35+01:00Nvidia deep distributed framework learning mpi <span itemprop="description">Distributed training framework for TensorFlow, Keras, PyTorch, and MXNet. - horovod/horovod</span>