🧠 Topic: META-LEARNING PROBABILISTIC INFERENCE FOR PREDICTION
💠 Link: https://arxiv.org/pdf/1805.09921.pdf
💡 Tags: #meta_learning #paper
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💠 Link: https://arxiv.org/pdf/1805.09921.pdf
💡 Tags: #meta_learning #paper
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🧠 Topic: 30 Essential Python Tips and Tricks for Programmers
💠 Link: https://www.techbeamers.com/essential-python-tips-tricks-programmers/
💡 Tags: #python
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💠 Link: https://www.techbeamers.com/essential-python-tips-tricks-programmers/
💡 Tags: #python
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TechBeamers
Python: 30 Programming Tips & Tricks
Welcome! If you’re looking for super cool Python tips and coding snippets to reuse, you’ve come to the right place. Discover the 30 hottest Python tips and tricks, perfect for coders at both basic and…
🧠 Topic: Episodic Meta-RL and the Brain
💠 Link: https://towardsdatascience.com/part-1-episodic-meta-rl-and-the-brain-909b9bccfc29
💡 Tags: #meta_learning #reinforcement_learning #neuroscience
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💠 Link: https://towardsdatascience.com/part-1-episodic-meta-rl-and-the-brain-909b9bccfc29
💡 Tags: #meta_learning #reinforcement_learning #neuroscience
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Medium
Part 1: Episodic Meta-RL and the Brain
Bridging the gap between machine learning and neuroscience
🧠 Topic: Meta-Learning With
Latent Embedding Optimization
💠 Link: https://arxiv.org/pdf/1807.05960
💡 Tags: #meta_learning #paper
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Latent Embedding Optimization
💠 Link: https://arxiv.org/pdf/1807.05960
💡 Tags: #meta_learning #paper
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🧠 Topic: I Thought I Was Mastering Python Until I Discovered These Tricks
💠 Link: https://towardsdatascience.com/i-thought-i-was-mastering-python-until-i-discovered-these-tricks-e40d9c71f4e2
💡 Tags: #python
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💠 Link: https://towardsdatascience.com/i-thought-i-was-mastering-python-until-i-discovered-these-tricks-e40d9c71f4e2
💡 Tags: #python
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Medium
I Thought I Was Mastering Python Until I Discovered These Tricks
Python best practices and tips that will make you code quickly and efficiently
🧠 Topic: Deep Learning - 2021 (Berkley)
💠 Link: https://www.youtube.com/playlist?app=desktop&list=PLki3HkfgNEsK1PNSxxPi1YuUKi2cvz5S5&ab_channel=ArtificialIntelligence
💡 Tags: #reinforcement_learning #rl #deep_learning #neural_network
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💠 Link: https://www.youtube.com/playlist?app=desktop&list=PLki3HkfgNEsK1PNSxxPi1YuUKi2cvz5S5&ab_channel=ArtificialIntelligence
💡 Tags: #reinforcement_learning #rl #deep_learning #neural_network
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🧠 Topic: Deep Reinforcement Learning - 2020 (Berkley)
💠 Link: https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc
💡 Tags: #reinforcement_learning #rl #deep_learning
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💠 Link: https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc
💡 Tags: #reinforcement_learning #rl #deep_learning
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🧠 Topic: Meta Learning Tutorial
💠 Link: https://www.youtube.com/playlist?list=PLuv1FSpHurUdx3GqtdVTAWiODMW3tPh6w
💡 Tags: #meta_learning #deep_learning
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💠 Link: https://www.youtube.com/playlist?list=PLuv1FSpHurUdx3GqtdVTAWiODMW3tPh6w
💡 Tags: #meta_learning #deep_learning
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YouTube
null - YouTube
Python_Tricks_A_Buffet_of_Awesome_Python_Features_by_Dan_Bader_z.pdf
1.2 MB
🧠 Topic: Python Tricks: A Buffet of Awesome Python Features
💠 Link: https://realpython.com/products/python-tricks-book/
💡 Tags: #python #book
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💠 Link: https://realpython.com/products/python-tricks-book/
💡 Tags: #python #book
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Fluent_Python_Clear,_Concise,_and_Effective_Programming_by_Luciano.pdf
16.9 MB
🧠 Topic: Fluent Python
💠 Link: https://www.oreilly.com/library/view/fluent-python/9781491946237/
💡 Tags: #python #book
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💠 Link: https://www.oreilly.com/library/view/fluent-python/9781491946237/
💡 Tags: #python #book
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🧠 Topic: Intermediate Python
💠 Link: https://media-exp3.licdn.com/dms/document/C561FAQECTCRv7iXnsA/feedshare-document-pdf-analyzed/0/1621334957270?e=1623697200&v=beta&t=9WtlNtrttH2Upw53G-mOEsDExFw6l1-v-QROQ2TL3qI
💡 Tags: #python #book
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💠 Link: https://media-exp3.licdn.com/dms/document/C561FAQECTCRv7iXnsA/feedshare-document-pdf-analyzed/0/1621334957270?e=1623697200&v=beta&t=9WtlNtrttH2Upw53G-mOEsDExFw6l1-v-QROQ2TL3qI
💡 Tags: #python #book
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🧠 Topic: Reinforcement learning in the brain
💠 Link: https://www.princeton.edu/~yael/Publications/Niv2009.pdf
💡 Tags: #reinforcement_learning #rl #brain #neuroscience
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💠 Link: https://www.princeton.edu/~yael/Publications/Niv2009.pdf
💡 Tags: #reinforcement_learning #rl #brain #neuroscience
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🧠 Topic: Towards an integration of deep learning and neuroscience
💠 Link: https://www.biorxiv.org/content/biorxiv/early/2016/06/13/058545.full.pdf
💡 Tags: #reinforcement_learning #rl #deep_learning #neural_network #neuroscience
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💠 Link: https://www.biorxiv.org/content/biorxiv/early/2016/06/13/058545.full.pdf
💡 Tags: #reinforcement_learning #rl #deep_learning #neural_network #neuroscience
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🧠 Topic: Complete python 3 tutorial notebooks
💠 Link: https://github.com/Pierian-Data/Complete-Python-3-Bootcamp
💡 Tags: #python
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💠 Link: https://github.com/Pierian-Data/Complete-Python-3-Bootcamp
💡 Tags: #python
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GitHub
GitHub - Pierian-Data/Complete-Python-3-Bootcamp: Course Files for Complete Python 3 Bootcamp Course on Udemy
Course Files for Complete Python 3 Bootcamp Course on Udemy - Pierian-Data/Complete-Python-3-Bootcamp
🧠 Topic: Python Numpy Tutorial (with Jupyter and Colab)
💠 Link: https://cs231n.github.io/python-numpy-tutorial/#:~:text=A%20numpy%20array%20is%20a,the%20array%20along%20each%20dimension.
💡 Tags: #python #numpy
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💠 Link: https://cs231n.github.io/python-numpy-tutorial/#:~:text=A%20numpy%20array%20is%20a,the%20array%20along%20each%20dimension.
💡 Tags: #python #numpy
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cs231n.github.io
Python Numpy Tutorial (with Jupyter and Colab)
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
🧠 Topic: Temporal Convolutional Networks, The Next Revolution for Time-Series?
💠 Link: https://towardsdatascience.com/temporal-convolutional-networks-the-next-revolution-for-time-series-8990af826567
💡 Tags: #cnn
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💠 Link: https://towardsdatascience.com/temporal-convolutional-networks-the-next-revolution-for-time-series-8990af826567
💡 Tags: #cnn
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Medium
Temporal Convolutional Networks, The Next Revolution for Time-Series?
This post reviews the latest innovations that include the TCN in their solutions. We first present a case study of motion detection and…
🧠 Topic: Learning to learn gradient descent by gradient descent: a paper review
💠 Link: https://medium.com/dataseries/learning-to-learn-gradient-descent-by-gradient-descent-a-paper-review-44292f2fb1ff
💡 Tags: #meta_learning
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💠 Link: https://medium.com/dataseries/learning-to-learn-gradient-descent-by-gradient-descent-a-paper-review-44292f2fb1ff
💡 Tags: #meta_learning
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Medium
Learning to learn gradient descent by gradient descent: a paper review
A easy to understand review of the major concepts introduced in the paper “Learning to learn by gradient descent by gradient descent”
🧠 Topic: Deep Learning (DLSS) and Reinforcement Learning (RLSS) Summer School, Montreal 2017
💠 Link: http://videolectures.net/deeplearning2017_montreal/
💡 Tags: #deep_learning #reinforcement_learning #rl
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💠 Link: http://videolectures.net/deeplearning2017_montreal/
💡 Tags: #deep_learning #reinforcement_learning #rl
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videolectures.net
Deep Learning (DLSS) and Reinforcement Learning (RLSS) Summer School, Montreal 2017
Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many…
🧠 Topic: Resampling strategies for imbalanced datasets
💠 Link: https://www.kaggle.com/rafjaa/resampling-strategies-for-imbalanced-datasets
💡 Tags: #imbalance_data #preprocessing
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💠 Link: https://www.kaggle.com/rafjaa/resampling-strategies-for-imbalanced-datasets
💡 Tags: #imbalance_data #preprocessing
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Kaggle
Resampling strategies for imbalanced datasets
Explore and run machine learning code with Kaggle Notebooks | Using data from Porto Seguro’s Safe Driver Prediction
🧠 Topic: Computational Neuroscience
💠 Link: https://www.youtube.com/playlist?list=PLUGg7IB_KBdhRNsBxV-yevlJTr2NmC5LY
💡 Tags: #neuroscience #computer_vision
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💠 Link: https://www.youtube.com/playlist?list=PLUGg7IB_KBdhRNsBxV-yevlJTr2NmC5LY
💡 Tags: #neuroscience #computer_vision
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YouTube
Computational Neuroscience
Share your videos with friends, family, and the world
🧠 Topic: Canonical Computation in Brains and Machines
💠 Link: https://gias.nyu.edu/canonical-computation-brains-machines-2018/
💡 Tags: #neuroscience #artificial_intelligence
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💠 Link: https://gias.nyu.edu/canonical-computation-brains-machines-2018/
💡 Tags: #neuroscience #artificial_intelligence
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Global Institute for Advanced Study
Unnoscriptd
The fields of neuroscience and AI have undergone significant transformation over the last ten years, thanks in large part to a rapid expansion in technological capacities that are permitting ever more…