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| + | ===== Learn ===== | ||
| + | |||
| + | * https://github.com/BrainJS/brain.js | ||
| + | * https://youtu.be/M4YsClyTMzg# | ||
| + | * https://github.com/karpathy/convnetjs# JavaScript | ||
| + | * https://00f.net/2011/03/10/redis-as-a-recommendation-engine/ | ||
| + | |||
| + | * scikit-learn: learning process (py) | ||
| + | * and deep learning neural network using Keras with TensorFlow backend | ||
| + | * http://paulbourke.net/miscellaneous/correlate/ | ||
| + | * https://arxiv.org/pdf/1705.05988.pdf | ||
| + | * https://arxiv.org/pdf/1708.03854.pdf | ||
| + | * https://github.com/scampion/multimedia-machine-learning-tutorials | ||
| + | * https://fr.coursera.org/learn/machine-learning | ||
| + | * https://gitlab.inria.fr/sed-rennes/formations/deep-learning-intro# | ||
| + | * https://github.com/adap/flower# FederatedLearning | ||
| + | * https://fosdem.org/2021/schedule/event/tee_veracruz/# | ||
| + | |||
| + | |||
| + | ===== TensorFlow: ===== | ||
| + | |||
| + | * http://playground.tensorflow.org/# NeuraL NetworK | ||
| + | * https://github.com/tensorflow/tensorflow# LearN | ||
| + | * https://github.com/astorfi/TensorFlow-World# LearN | ||
| + | * https://medium.com/towards-data-science/lstm-by-example-using-tensorflow-feb0c1968537# | ||
| + | * https://sebastianraschka.com/pdf/books/dlb/appendix_g_tensorflow.pdf | ||
| + | * https://deepdetect.com/# Fr | ||
| + | * https://01.org/blogs/astojilj/2018/background-removal-tensorflow.js# JavaScript | ||
| + | * https://towardsdatascience.com/why-machine-learning-on-the-edge-92fac32105e6# McU | ||
| + | * https://youtu.be/Qt3ZABW5lD0# TensorFlowJs | ||
| + | * https://morioh.com/p/6fa3b22e60ec?f=5c21fb01c16e2556b555ab32# | ||
| + | |||
| + | |||
| + | ===== SOFTWARE ===== | ||
| + | |||
| + | * https://mycroft.ai/ | ||
| + | * https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html | ||
| + | * https://github.com/tensorflow/tfjs-examples# | ||
| + | * https://github.com/brainjs/brain.js#readme | ||
| + | * https://github.com/floe/deepbacksub# | ||
| + | |||
| + | |||
| + | ===== HARDWARE ===== | ||
| + | |||
| + | * https://aiyprojects.withgoogle.com/edge-tpu/# HardWare | ||
| + | * https://youtu.be/grgNXdkmzzQ# McU StM | ||
| + | * https://www.st.com/stm32cubeai# | ||
| + | * https://github.com/araobp/stm32-mcu/tree/master/NUCLEO-F401RE/AI# | ||
| + | * https://www.st.com/content/st_com/en/stm32-ann.html# | ||
| + | |||
| + | |||
| + | ===== TimeSeries ===== | ||
| + | |||
| + | * https://towardsdatascience.com/how-not-to-use-machine-learning-for-time-series-forecasting-avoiding-the-pitfalls-19f9d7adf424# TimeSeries | ||
| + | * https://machinelearningmastery.com/category/deep-learning-time-series/# LearN | ||
| + | * https://machinelearningmastery.com/how-to-get-started-with-deep-learning-for-time-series-forecasting-7-day-mini-course/# | ||
| + | * https://medium.com/open-machine-learning-course/open-machine-learning-course-topic-9-time-series-analysis-in-python-a270cb05e0b3# | ||
| + | * https://www.influxdata.com/time-series-database/ | ||
| + | * http://druid.io/use-cases# IoT and device metrics | ||
| + | * https://www.influxdata.com/time-series-platform/# | ||
| + | * http://opentsdb.net/overview.html | ||
| + | * https://facebook.github.io/prophet/docs/quick_start.html#r-api | ||
| + | * https://www.npmjs.com/package/time-series-collection | ||
| + | * https://www.npmjs.com/package/tensorscript# | ||
| + | * https://www.npmjs.com/package/uts | ||
| + | |||
| + | ===== ETHIC ===== | ||
| + | |||
| + | * https://www.futura-sciences.com/sciences/actualites/aeronautique-voici-ressemblera-combat-aerien-futur-80181/# EthiC | ||
| + | * https://www.ai4eu.eu/ai4eu-observatory# | ||
| + | * https://pytorch.org/docs/stable/notes/randomness.html# ReproductibilitY | ||
| + | * https://www.eetimes.com/nxp-launches-ai-ethics-initiative/# NxP | ||
| + | |||
| + | |||
| + | |||
| + | ===== LINKS ===== | ||
| + | |||
| + | * https://botengine.ai/# ServicE | ||
| + | * http://www.fast.ai/2017/07/28/killer-robots/# | ||
| + | * http://www.youtube.com/watch?v=P21MQJ5xjnc# ObsoletE | ||
| + | * https://venturebeat.com/2015/11/14/deep-learning-frameworks/# OpenSource | ||
| + | * https://devblogs.nvidia.com/parallelforall/malware-detection-neural-networks/# SecuritY | ||
| + | * http://propelml.org | ||
| + | * https://gitlab.com/nicolaspanel/TrainingSpeech# VoicE | ||
| + | * https://en.wikipedia.org/wiki/CIFAR-10 | ||
| + | * https://github.com/snipsco/snips-nlu# | ||
| + | * https://www.sigdial.org/files/workshops/conference18/proceedings/pdf/SIGDIAL22.pdf | ||
| + | * https://labs.ovh.com/machine-learning-platform# ClouD | ||
| + | * https://www.youtube.com/watch?v=p1b5aiTrGzY# VideO | ||
| + | * https://community.ibm.com/community/user/datascience/blogs/christina-howell/2020/02/25/nathalie-baracaldo-ibm-research-ai-a# FederatedLearning | ||
| + | * https://community.ibm.com/community/user/datascience/blogs/nathalie-baracaldo1/2020/01/03/federated-learning-part-2# | ||
| + | * https://deepmind.com/learning-resources/-introduction-reinforcement-learning-david-silver# LearN | ||
| + | * https://www.economist.com/technology-quarterly/2020/06/11/an-understanding-of-ais-limitations-is-starting-to-sink-in# PredictioN | ||
| + | * https://openai.com/blog/dall-e/# SearcH | ||
| + | * https://trac.wildfiregames.com/wiki/GettingStartedReinforcementLearning# | ||
| + | * https://voice2json.org/ | ||
| + | * https://github.com/jomjol/AI-on-the-edge-device# | ||
| + | * https://www.schneier.com/academic/archives/2021/04/the-coming-ai-hackers.html AIs Hacking UsIn 2016, The Georgia Institute of Technology published a research study on human trust in robots.14 | ||
| + | |||
| + | |||
| + | ===== MORE ===== | ||
| + | |||
| + | @TaG: MathS | ||
| + | |||
| + | {{https://www.monkeyuser.com/assets/images/2020/191-reverse-turing-test.png}} | ||
| + | |||
| + | {{https://i.giphy.com/JWday3G09ANWLPRAqg.webp}} | ||