Machine Learning Unlocks Library of The Human Brain. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #NeuroScience
https://thetartan.org/2019/11/11/scitech/brain-thoughts
https://thetartan.org/2019/11/11/scitech/brain-thoughts
"Optuna: A Next-generation Hyperparameter Optimization Framework"
Akiba et al.: https://arxiv.org/abs/1907.10902
#ArtificialIntelligence #DataScience #MachineLearning
Akiba et al.: https://arxiv.org/abs/1907.10902
#ArtificialIntelligence #DataScience #MachineLearning
Optuna: A Next-generation Hyperparameter Optimization Framework"
Akiba et al.: https://arxiv.org/abs/1907.10902
#ArtificialIntelligence #DataScience #MachineLearning
Akiba et al.: https://arxiv.org/abs/1907.10902
#ArtificialIntelligence #DataScience #MachineLearning
Accelerating TSNE with GPUs: From hours to seconds
Blog by Daniel Han-Chen : https://medium.com/rapids-ai/tsne-with-gpus-hours-to-seconds-9d9c17c941db
#MachineLearning #DataVisualization #DataScience
Blog by Daniel Han-Chen : https://medium.com/rapids-ai/tsne-with-gpus-hours-to-seconds-9d9c17c941db
#MachineLearning #DataVisualization #DataScience
Medium
Accelerating TSNE with GPUs: From hours to seconds
RAPIDS TSNE runs 2000x faster on GPUs — That’s 3 hours down to 5 seconds!
PyTorch Wrapper version 1.1 is out!
New Features:
- Samplers for smart batching based on text length for faster training.
- Loss and Evaluation wrappers for token prediction tasks.
- New nn.modules for attention based models.
- Support for multi GPU training / evaluation / prediction.
- Verbose argument in system's methods.
- Examples using Transformer based models like BERT for text classification.
Check it out in the following links:
install with: pip install pytorch-wrapper
GitHub: https://github.com/jkoutsikakis/pytorch-wrapper
docs: https://pytorch-wrapper.readthedocs.io/en/latest/
examples: https://github.com/jkouts…/pytorch-wrapper/…/master/examples
#DeepLearning #PyTorch #NeuralNetworks #MachineLearning #DataScience #python #TensorFlow
New Features:
- Samplers for smart batching based on text length for faster training.
- Loss and Evaluation wrappers for token prediction tasks.
- New nn.modules for attention based models.
- Support for multi GPU training / evaluation / prediction.
- Verbose argument in system's methods.
- Examples using Transformer based models like BERT for text classification.
Check it out in the following links:
install with: pip install pytorch-wrapper
GitHub: https://github.com/jkoutsikakis/pytorch-wrapper
docs: https://pytorch-wrapper.readthedocs.io/en/latest/
examples: https://github.com/jkouts…/pytorch-wrapper/…/master/examples
#DeepLearning #PyTorch #NeuralNetworks #MachineLearning #DataScience #python #TensorFlow
GitHub
jkoutsikakis/pytorch-wrapper
Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch. - jkoutsikakis/pytorch-wrapper
How does the non-conscious become conscious?
https://www.cell.com/current-biology/fulltext/S0960-9822(20)30033-6
https://t.iss.one/ArtificialIntelligenceArticles
https://www.cell.com/current-biology/fulltext/S0960-9822(20)30033-6
https://t.iss.one/ArtificialIntelligenceArticles
Telegram
ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
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Machine learning in physics: The pitfalls of poisoned training sets
Fang et al.: https://arxiv.org/abs/2003.05087
https://t.iss.one/ArtificialIntelligenceArticles
#MachineLearning #NeuralNetworks #Physics
Fang et al.: https://arxiv.org/abs/2003.05087
https://t.iss.one/ArtificialIntelligenceArticles
#MachineLearning #NeuralNetworks #Physics
Telegram
ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
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7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
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CS472 Data science and AI for COVID-19
Zou et al.: https://sites.google.com/view/data-science-covid-19/
#ArtificialIntelligence #Covid19 #DataScience https://t.iss.one/ArtificialIntelligenceArticles
Zou et al.: https://sites.google.com/view/data-science-covid-19/
#ArtificialIntelligence #Covid19 #DataScience https://t.iss.one/ArtificialIntelligenceArticles
Code for modelling estimated deaths and cases for COVID19
Model from Report 13 of the Imperial College COVID-19 Response Team. GitHub: https://github.com/ImperialCollegeLondon/covid19model
#Covid19Response #DataScience #Modeling
Model from Report 13 of the Imperial College COVID-19 Response Team. GitHub: https://github.com/ImperialCollegeLondon/covid19model
#Covid19Response #DataScience #Modeling
GitHub
GitHub - ImperialCollegeLondon/covid19model: Code for modelling estimated deaths and cases for COVID19.
Code for modelling estimated deaths and cases for COVID19. - GitHub - ImperialCollegeLondon/covid19model: Code for modelling estimated deaths and cases for COVID19.
Our team at Google set a new world record in (quantum processor based) resolving the energy spectrum of a chemical compound.
https://arxiv.org/abs/2004.04174
https://t.iss.one/ArtificialIntelligenceArticles
https://arxiv.org/abs/2004.04174
https://t.iss.one/ArtificialIntelligenceArticles
Telegram
ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
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7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks