From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
Tanaka et al.: https://papers.nips.cc/paper/9060-from-deep-learning-to-mechanistic-understanding-in-neuroscience-the-structure-of-retinal-prediction
#DeepLearning #Neuroscience #NeurIPS2019
Tanaka et al.: https://papers.nips.cc/paper/9060-from-deep-learning-to-mechanistic-understanding-in-neuroscience-the-structure-of-retinal-prediction
#DeepLearning #Neuroscience #NeurIPS2019
papers.nips.cc
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
Electronic Proceedings of Neural Information Processing Systems
The Decade of Deep Learning
https://leogao.dev/2019/12/31/The-Decade-of-Deep-Learning/
https://leogao.dev/2019/12/31/The-Decade-of-Deep-Learning/
Leo Gao
The Decade of Deep Learning
As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful comput
Selective Brain Damage: Measuring the Disparate Impact of Model Compression
Sara Hooker, Aaron Courville, Yann Dauphin, Andrea Frome
https://weightpruningdamage.github.io/
SLIDES
https://drive.google.com/file/d/1VIeV7l9x-KXdT_UdZB54GQxhGHRRQ79T/view
Sara Hooker, Aaron Courville, Yann Dauphin, Andrea Frome
https://weightpruningdamage.github.io/
SLIDES
https://drive.google.com/file/d/1VIeV7l9x-KXdT_UdZB54GQxhGHRRQ79T/view
Deep Neural Network Pruning
Selective Brain Damage
What do pruned deep neural networks forget?
2019’s Top Open Source Machine Learning Projects
https://heartbeat.fritz.ai/2019s-top-open-source-machine-learning-projects-3cd082a02f78
https://heartbeat.fritz.ai/2019s-top-open-source-machine-learning-projects-3cd082a02f78
Fritz ai
2019’s Top Open Source Machine Learning Projects - Fritz ai
In this piece, we’ll look at some of the top open source machine learning projects in 2019, as ranked by MyBridge. Real-Time-Voice-Cloning (13.7K ⭐️) This project is an implementation of the SV2TTS paper with a vocoder that works in real-time.… Continue reading…
keras-ocr
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model
GitHub, by Fausto Morales : https://github.com/faustomorales/keras-ocr
#ArtificialIntelligence #DeepLearning #MachineLearning
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model
GitHub, by Fausto Morales : https://github.com/faustomorales/keras-ocr
#ArtificialIntelligence #DeepLearning #MachineLearning
GitHub
GitHub - faustomorales/keras-ocr: A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model. - faustomorales/keras-ocr
Deep Learning for 3D Point Clouds: A Survey
Guo et al.: https://arxiv.org/abs/1912.12033
#DeepLearning #MachineLearning #Robotics
Guo et al.: https://arxiv.org/abs/1912.12033
#DeepLearning #MachineLearning #Robotics
What can the brain teach us about building artificial intelligence?
Dileep George : https://arxiv.org/abs/1909.01561
#ArtificialIntelligence #Neurons #Brain
Dileep George : https://arxiv.org/abs/1909.01561
#ArtificialIntelligence #Neurons #Brain
exBERT- A Visual Analysis Tool to Explore Learned Representations in Transformers Models
Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann : https://exbert.net
#NLP #BERT #LanguageModel
Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann : https://exbert.net
#NLP #BERT #LanguageModel
Using Nucleus and TensorFlow for DNA Sequencing Error Correction
Colab Notebook, by Google : https://colab.research.google.com/github/google/nucleus/blob/master/nucleus/examples/dna_sequencing_error_correction.ipynb
#ArtificialIntelligence #DNA #DeepLearning
Colab Notebook, by Google : https://colab.research.google.com/github/google/nucleus/blob/master/nucleus/examples/dna_sequencing_error_correction.ipynb
#ArtificialIntelligence #DNA #DeepLearning
Google
dna_sequencing_error_correction.ipynb
Run, share, and edit Python notebooks
Linguistic Knowledge and Transferability of Contextual Representations
Liu et al.: https://arxiv.org/abs/1903.08855
#ArtificialIntelligence #DeepLearning #NLP
Liu et al.: https://arxiv.org/abs/1903.08855
#ArtificialIntelligence #DeepLearning #NLP
arXiv.org
Linguistic Knowledge and Transferability of Contextual Representations
Contextual word representations derived from large-scale neural language models are successful across a diverse set of NLP tasks, suggesting that they encode useful and transferable features of...
[Google Brain Object detection] EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
Source code: https://github.com/signatrix/efficientdet
Source code: https://github.com/signatrix/efficientdet
GitHub
GitHub - signatrix/efficientdet: (Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation…
(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH - signatrix/efficientdet
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Mao et al.: https://arxiv.org/abs/1904.12584
#ArtificialIntelligence #NeuroSymbolic #AIDebate
Mao et al.: https://arxiv.org/abs/1904.12584
#ArtificialIntelligence #NeuroSymbolic #AIDebate
Geometric Capsule Autoencoders for 3D Point Clouds
Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov : https://arxiv.org/pdf/1912.03310.pdf
#ArtificialIntelligence #DeepLearning #MachineLearning
Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov : https://arxiv.org/pdf/1912.03310.pdf
#ArtificialIntelligence #DeepLearning #MachineLearning
Analyzing and Improving the Image Quality of StyleGAN
Karras et al.:https://arxiv.org/abs/1912.04958
Github: https://github.com/NVlabs/stylegan2
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
Karras et al.:https://arxiv.org/abs/1912.04958
Github: https://github.com/NVlabs/stylegan2
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
GitHub
GitHub - NVlabs/stylegan2: StyleGAN2 - Official TensorFlow Implementation
StyleGAN2 - Official TensorFlow Implementation. Contribute to NVlabs/stylegan2 development by creating an account on GitHub.
10 ML & NLP Research Highlights of 2019
https://ruder.io/research-highlights-2019/
https://ruder.io/research-highlights-2019/
Practical AI
A practical approach to machine learning to enable everyone to learn, explore and build : https://github.com/practicalAI/practicalAI
#Python #Numpy #Pandas
A practical approach to machine learning to enable everyone to learn, explore and build : https://github.com/practicalAI/practicalAI
#Python #Numpy #Pandas
GitHub
GitHub - GokuMohandas/Made-With-ML: Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn how to design, develop, deploy and iterate on production-grade ML applications. - GokuMohandas/Made-With-ML
A nice collection of resources to learn more about ML and AI (talks, posts, papers, summaries)
https://github.com/brylevkirill/notes
https://github.com/brylevkirill/notes
GitHub
GitHub - brylevkirill/notes: Learn about Machine Learning and Artificial Intelligence
Learn about Machine Learning and Artificial Intelligence - brylevkirill/notes
Father of GANs Ian Goodfellow Splits Google For Apple
https://medium.com/syncedreview/father-of-gans-ian-goodfellow-splits-google-for-apple-279fcc54b328
https://medium.com/syncedreview/father-of-gans-ian-goodfellow-splits-google-for-apple-279fcc54b328
One of the most interesting write ups I've ever seen.
https://anatomyof.ai/
https://anatomyof.ai/
Anatomy of an AI System
Anatomy of an AI System - The Amazon Echo as an anatomical map of human labor, data and planetary resources. By Kate Crawford and Vladan Joler (2018)