Neural network to undress people on photo
App / web service is released to uncover naked body under the clothes. Works better on swimsuits pictures. Currently website is overloaded and down, updates on the matter are on twitter.
Team's twitter: https://twitter.com/deepnudeapp
Vice article: https://www.vice.com/en_us/article/kzm59x/deepnude-app-creates-fake-nudes-of-any-woman
Website: http://deepnude.com
#HypeNN #DL #CV #nudes
App / web service is released to uncover naked body under the clothes. Works better on swimsuits pictures. Currently website is overloaded and down, updates on the matter are on twitter.
Team's twitter: https://twitter.com/deepnudeapp
Vice article: https://www.vice.com/en_us/article/kzm59x/deepnude-app-creates-fake-nudes-of-any-woman
Website: http://deepnude.com
#HypeNN #DL #CV #nudes
ODS breakfast in Paris! See you this Saturday at 10:30 at Malongo Café, 50 Rue Saint-André des Arts.
Communauté francaise de Machine Learning / Data science - dscientist
Bonjour,
Il existe des communautés anglaises, russes de Machine Learning. En France, il y a de quelques petites communauté (basée sur la localisation ou le domaine spécifique) mais pas une communauté globale. Aujourd'hui dscientist.slack.com est né et permet de regrouper les personnes francophones s'intéressants à ces domaines. L'objectif principal est le partage d'expériences, de connaissances et une veille commune sur l'IA et le ML.
Si vous êtes intéressé(e), rejoignez cette communauté via le lien ci-dessous.
Link: https://docs.google.com/forms/d/1g7v9MpzhgXgDUyAtLDU5MSh78DDaBhGYJgFV1Ys46EU
Bonjour,
Il existe des communautés anglaises, russes de Machine Learning. En France, il y a de quelques petites communauté (basée sur la localisation ou le domaine spécifique) mais pas une communauté globale. Aujourd'hui dscientist.slack.com est né et permet de regrouper les personnes francophones s'intéressants à ces domaines. L'objectif principal est le partage d'expériences, de connaissances et une veille commune sur l'IA et le ML.
Si vous êtes intéressé(e), rejoignez cette communauté via le lien ci-dessous.
Link: https://docs.google.com/forms/d/1g7v9MpzhgXgDUyAtLDU5MSh78DDaBhGYJgFV1Ys46EU
Google Docs
Inscription au slack dscientist francophone
New free Deep Learning course from #FastAI
This course shows how to build a state of the art deep learning model from scratch.
FastAI’s mission is to make neural nets uncool again by teaching as many people from as many backgrounds as possible.
Link: https://www.fast.ai/2019/06/28/course-p2v3/
#MOOC #DL #freecourse
This course shows how to build a state of the art deep learning model from scratch.
FastAI’s mission is to make neural nets uncool again by teaching as many people from as many backgrounds as possible.
Link: https://www.fast.ai/2019/06/28/course-p2v3/
#MOOC #DL #freecourse
Google announced the updated YouTube-8M dataset
Updated set now includes a subset with verified 5-s segment level labels, along with the 3rd Large-Scale Video Understanding Challenge and Workshop at #ICCV19.
Link: https://ai.googleblog.com/2019/06/announcing-youtube-8m-segments-dataset.html
#Google #YouTube #CV #DL #Video #dataset
Updated set now includes a subset with verified 5-s segment level labels, along with the 3rd Large-Scale Video Understanding Challenge and Workshop at #ICCV19.
Link: https://ai.googleblog.com/2019/06/announcing-youtube-8m-segments-dataset.html
#Google #YouTube #CV #DL #Video #dataset
ML system used to create complex and accurate simulation of the universe
The speed and accuracy of the project, called the Deep Density Displacement Model, or #D3M for short, wasn't the biggest surprise to the researchers. The real shock was that D3M could accurately simulate how the universe would look if certain parameters were tweaked — such as how much of the cosmos is dark matter — even though the model had never received any training data where those parameters varied.
Link: https://phys.org/news/2019-06-ai-universe-sim-fast-accurateand.html
#Physics #DL #simulation
The speed and accuracy of the project, called the Deep Density Displacement Model, or #D3M for short, wasn't the biggest surprise to the researchers. The real shock was that D3M could accurately simulate how the universe would look if certain parameters were tweaked — such as how much of the cosmos is dark matter — even though the model had never received any training data where those parameters varied.
Link: https://phys.org/news/2019-06-ai-universe-sim-fast-accurateand.html
#Physics #DL #simulation
phys.org
The first AI universe sim is fast and accurate—and its creators don't know how it works
For the first time, astrophysicists have used artificial intelligence techniques to generate complex 3-D simulations of the universe. The results are so fast, accurate and robust that even the creators ...
💣New open-source recommender system from Facebook.
Facebook is open-sourcing DLRM — a state-of-the-art deep learning recommendation model to help AI researchers and the systems and hardware community develop new, more efficient ways to work with categorical data.
Link: https://ai.facebook.com/blog/dlrm-an-advanced-open-source-deep-learning-recommendation-model/
Github: https://github.com/facebookresearch/dlrm
ArXiV: https://arxiv.org/abs/1906.03109
#Facebook #DLRM #recommender #DL #PyTorch #Caffe
Facebook is open-sourcing DLRM — a state-of-the-art deep learning recommendation model to help AI researchers and the systems and hardware community develop new, more efficient ways to work with categorical data.
Link: https://ai.facebook.com/blog/dlrm-an-advanced-open-source-deep-learning-recommendation-model/
Github: https://github.com/facebookresearch/dlrm
ArXiV: https://arxiv.org/abs/1906.03109
#Facebook #DLRM #recommender #DL #PyTorch #Caffe
👍1
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Researchers at Google Brain and Carnegie Mellon introduce #XLNet, a pre-training algorithm for natural language processing systems. It helps NLP models (in this case, based on Transformer-XL) achieve state-of-the-art results in 18 diverse language-understanding tasks including question answering and sentiment analysis.
Article: https://towardsdatascience.com/what-is-xlnet-and-why-it-outperforms-bert-8d8fce710335
ArXiV: https://arxiv.org/pdf/1906.08237.pdf
#Google #GoogleBrain #CMU #NLP #SOTA #DL
Researchers at Google Brain and Carnegie Mellon introduce #XLNet, a pre-training algorithm for natural language processing systems. It helps NLP models (in this case, based on Transformer-XL) achieve state-of-the-art results in 18 diverse language-understanding tasks including question answering and sentiment analysis.
Article: https://towardsdatascience.com/what-is-xlnet-and-why-it-outperforms-bert-8d8fce710335
ArXiV: https://arxiv.org/pdf/1906.08237.pdf
#Google #GoogleBrain #CMU #NLP #SOTA #DL
0.2 release of PyTorchPipe
Library for multi-modal deep learning pipelines, in a modular fashion for GPU and CPU.
Link: https://github.com/IBM/pytorchpipe
#IBM #PyTorch
Library for multi-modal deep learning pipelines, in a modular fashion for GPU and CPU.
Link: https://github.com/IBM/pytorchpipe
#IBM #PyTorch
GitHub
GitHub - IBM/pytorchpipe: PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational…
PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language - GitHub - IBM/pytorchpipe: PyTorchPipe (PTP) is a co...
Hey, fellow researchers, engineers and students.
We can recommend you another great frequently updated channel, covering Machine and Deep Learning: @ai_machinelearning_big_data
We can recommend you another great frequently updated channel, covering Machine and Deep Learning: @ai_machinelearning_big_data
Yet another good intro into difference between artificial neural network and biological one.
If you're getting started in Data Science, you need to start with the basic building building block of Neural Networks - a Perceptron. To understand what it is, there's this good link to get started with.
Link: https://towardsdatascience.com/the-differences-between-artificial-and-biological-neural-networks-a8b46db828b7
#nn #entrylevel #beginner
If you're getting started in Data Science, you need to start with the basic building building block of Neural Networks - a Perceptron. To understand what it is, there's this good link to get started with.
Link: https://towardsdatascience.com/the-differences-between-artificial-and-biological-neural-networks-a8b46db828b7
#nn #entrylevel #beginner
Medium
The differences between Artificial and Biological Neural Networks
They differ in size, topology, speed, fault-tolerance, power consumption, the way signals are sent and received and the way they learn.
Github repo with collection of NLP articles with short description
Link: https://github.com/mihail911/nlp-library
#tldr #nlp #github #dl
Link: https://github.com/mihail911/nlp-library
#tldr #nlp #github #dl
GitHub
GitHub - mihail911/nlp-library: curated collection of papers for the nlp practitioner 📖👩🔬
curated collection of papers for the nlp practitioner 📖👩🔬 - mihail911/nlp-library
Using AI to balance a card game on the example of Hearthstone
Hearthstone — complex CCG by Blizzard with hundreds of cards. Paper is about balancing the game through multiobjective evolutionary algorithms. Authors show how to rebalance the game while making minimal card changes.
Link: https://arxiv.org/abs/1907.01623
#AI #Blizzard #Hearthstone #balance #linearprogramming #ccg
Hearthstone — complex CCG by Blizzard with hundreds of cards. Paper is about balancing the game through multiobjective evolutionary algorithms. Authors show how to rebalance the game while making minimal card changes.
Link: https://arxiv.org/abs/1907.01623
#AI #Blizzard #Hearthstone #balance #linearprogramming #ccg
🔥🎓New FastAI's free online course on NLP
It is called «A Code-First Introduction to Natural Language Processing». All code & videos are available for free online, make sure you save this link into bookmarks and at least review the content, because it provides opportunity not only to learn new skills, but to actually understand how NLP works.
Link: https://www.fast.ai/2019/07/08/fastai-nlp/
#NLP #NLU #DL #MOOC #FastAI #course
It is called «A Code-First Introduction to Natural Language Processing». All code & videos are available for free online, make sure you save this link into bookmarks and at least review the content, because it provides opportunity not only to learn new skills, but to actually understand how NLP works.
Link: https://www.fast.ai/2019/07/08/fastai-nlp/
#NLP #NLU #DL #MOOC #FastAI #course
ODS breakfast in Paris! See you this Saturday at 10:30 at Malongo Café, 50 Rue Saint-André des Arts.
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
Authors claim really fast face detection on mobile devices.
Link: https://arxiv.org/abs/1907.05047
#FaceRecognition #CV #mobile #DL
Authors claim really fast face detection on mobile devices.
Link: https://arxiv.org/abs/1907.05047
#FaceRecognition #CV #mobile #DL
arXiv.org
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
We present BlazeFace, a lightweight and well-performing face detector tailored for mobile GPU inference. It runs at a speed of 200-1000+ FPS on flagship devices. This super-realtime performance...
Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker
Main theoretical output: practical proof that carefully constructed AI algorithm can reach superhuman performance outside of two-player zero-sum games.
Training time: 8 days
Server: 64 core and 512 GB of RAM
Est. Cost to train: $150
The question whether that means end of the online poker, remains open for everyone to answer (or even try to train such bot themselves and take part).
Vote 🃏 if you believe the industry won't notice.
Vote 🤖 if you believe that it will be affected.
Link: https://ai.facebook.com/blog/pluribus-first-ai-to-beat-pros-in-6-player-poker/
Main theoretical output: practical proof that carefully constructed AI algorithm can reach superhuman performance outside of two-player zero-sum games.
Training time: 8 days
Server: 64 core and 512 GB of RAM
Est. Cost to train: $150
The question whether that means end of the online poker, remains open for everyone to answer (or even try to train such bot themselves and take part).
Vote 🃏 if you believe the industry won't notice.
Vote 🤖 if you believe that it will be affected.
Link: https://ai.facebook.com/blog/pluribus-first-ai-to-beat-pros-in-6-player-poker/
Meta
Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker
Facebook AI and Carnegie Mellon researchers have built Pluribus, the first AI bot to beat top pros in six-player Texas Hold’em poker.
❤1
Alan Turing will become a face of new £50 note
That's a great acknowledgment of the man who stands behind most of the theoretical computing.
Link: https://www.bbc.com/news/business-48962557
Most famous Turing's work 'On computable numbers': https://www.cs.virginia.edu/~robins/Turing_Paper_1936.pdf
Turing machine: https://en.wikipedia.org/wiki/Turing_machine
#Turing #Theory #Math #history
That's a great acknowledgment of the man who stands behind most of the theoretical computing.
Link: https://www.bbc.com/news/business-48962557
Most famous Turing's work 'On computable numbers': https://www.cs.virginia.edu/~robins/Turing_Paper_1936.pdf
Turing machine: https://en.wikipedia.org/wiki/Turing_machine
#Turing #Theory #Math #history
Useful and practical post on pandas indexing
Link: https://www.shanelynn.ie/select-pandas-dataframe-rows-and-columns-using-iloc-loc-and-ix/
#beginner #pandas #practical #novice #entrylevel
Link: https://www.shanelynn.ie/select-pandas-dataframe-rows-and-columns-using-iloc-loc-and-ix/
#beginner #pandas #practical #novice #entrylevel
www.shanelynn.ie
Pandas iloc and loc – quickly select data in DataFrames
The iloc, loc and ix indexers for Python Pandas select rows and columns from DataFrames. Simple guide to find data by position, label & conditional statements.