OpenAI releases Jukebox, a machine learning framework that generates music
Github: https://github.com/openai/jukebox/
Paper: https://cdn.openai.com/papers/jukebox.pdf
https://www.marktechpost.com/2020/05/02/openai-releases-jukebox-a-machine-learning-framework-that-generates-music/
Github: https://github.com/openai/jukebox/
Paper: https://cdn.openai.com/papers/jukebox.pdf
https://www.marktechpost.com/2020/05/02/openai-releases-jukebox-a-machine-learning-framework-that-generates-music/
GitHub
GitHub - openai/jukebox: Code for the paper "Jukebox: A Generative Model for Music"
Code for the paper "Jukebox: A Generative Model for Music" - openai/jukebox
TTNet: Real-time temporal and spatial video analysis of table tennis
Voeikov et al.: https://arxiv.org/abs/2004.09927
#ArtificialIntelligence #DeepLearning #MachineLearning
Voeikov et al.: https://arxiv.org/abs/2004.09927
#ArtificialIntelligence #DeepLearning #MachineLearning
Should data scientists learn JavaScript?
https://www.google.com/amp/s/www.freecodecamp.org/news/should-data-scientists-learn-javanoscript-e611d45804b8/amp/
https://www.google.com/amp/s/www.freecodecamp.org/news/should-data-scientists-learn-javanoscript-e611d45804b8/amp/
freeCodeCamp.org
Should data scientists learn JavaScript?
The pros and cons of using the web’s #1 language for data scienceIf you have been following the tech landscape in recent years, you have probably noticed at least two things. For one, you may have noticed that JavaScript is a very popular language these days.…
Deep learning with graph-structured representations
T.N. Kipf : https://dare.uva.nl/search?identifier=1b63b965-24c4-4bcd-aabb-b849056fa76d
#DeepLearning #Graph #NeuralNetworks
T.N. Kipf : https://dare.uva.nl/search?identifier=1b63b965-24c4-4bcd-aabb-b849056fa76d
#DeepLearning #Graph #NeuralNetworks
dare.uva.nl
Digital Academic Repository - University of Amsterdam
400+ textbooks free to download
CS books on Python, deep learning, data science & AI.
Springer: http://bit.ly/SpringerCS
#DeepLearning #Python #Programming #Coding
CS books on Python, deep learning, data science & AI.
Springer: http://bit.ly/SpringerCS
#DeepLearning #Python #Programming #Coding
Data Science resume samples:
https://resumegenius.com/resume-samples/data-scientist-resume-example
https://www.kickresume.com/en/help-center/data-scientist-resume-sample/
https://www.velvetjobs.com/resume/data-scientist-intern-resume-sample
https://resumegenius.com/resume-samples/data-scientist-resume-example
https://www.kickresume.com/en/help-center/data-scientist-resume-sample/
https://www.velvetjobs.com/resume/data-scientist-intern-resume-sample
Resume Genius
Data Scientist Resume Example & Writing Tips for 2025
Our data scientist resume examples for different niches and expert writing tips will help you create a strong resume that will land you your next job.
Every month, members of this group will look at a new dataset and work individually to analyze it and apply machine learning concepts. Then, we will all provide constructive feedback to each other.
https://forms.gle/URGuBQ1ALEHij1mq9
@ArtificialIntelligenceArticles
https://forms.gle/URGuBQ1ALEHij1mq9
@ArtificialIntelligenceArticles
Google Docs
Data Science Group
Every month, members of this group will look at a new dataset and work individually to analyze it and apply machine learning concepts. Then, we will all provide constructive feedback to each other.
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
Mao et al.: https://arxiv.org/abs/2005.03361
#ArtificialIntelligence #DeepLearning #NLP
Mao et al.: https://arxiv.org/abs/2005.03361
#ArtificialIntelligence #DeepLearning #NLP
PyRetri: An Open-Source Deep Learning Based Unsupervised Image Retrieval Library Built on PyTorch
Paper: https://arxiv.org/abs/2005.02154
Github: https://github.com/PyRetri/PyRetri
Paper: https://arxiv.org/abs/2005.02154
Github: https://github.com/PyRetri/PyRetri
GitHub
GitHub - PyRetri/PyRetri: Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥 - PyRetri/PyRetri
Object Detection: EfficientDet (SOTA), MobileNetv3 and YOLO using OpenCV and TensorFlow.
- Blog post: https://imadelhanafi.com/posts/object_detection_yolo_efficientdet_mobilenet/
- Github repo: https://github.com/imadelh/Object-Detection_MobileNetv3-EfficientDet-YOLO
- Live version: https://vision.imadelhanafi.com/predict/v1?model=MODEL_NAME&image_url=URL (example: https://vision.imadelhanafi.com/predict/v1?model=mobilenet&image_url=https://imadelhanafi.com/data/draft/random/img4.jpg)
- Blog post: https://imadelhanafi.com/posts/object_detection_yolo_efficientdet_mobilenet/
- Github repo: https://github.com/imadelh/Object-Detection_MobileNetv3-EfficientDet-YOLO
- Live version: https://vision.imadelhanafi.com/predict/v1?model=MODEL_NAME&image_url=URL (example: https://vision.imadelhanafi.com/predict/v1?model=mobilenet&image_url=https://imadelhanafi.com/data/draft/random/img4.jpg)
AI postdocs available! Stanford AI Lab is delighted to offer postdocs to some exciting young AI researchers in these difficult times. Positions for 2 years working with SAIL faculty. If you’ve procrastinated, this is the week to get your application in!
https://ai.stanford.edu/postdoctoral-applications/
@ArtificialIntelligenceArticles
https://ai.stanford.edu/postdoctoral-applications/
@ArtificialIntelligenceArticles
ai.stanford.edu
Postdoctoral Scholar Openings | Stanford Artificial Intelligence Laboratory
» Postdoctoral Scholar Openings |
From Ian Goodfellow and other Google researchers: A novel approach to generating high-resolution images, guided by small inputs, that results in perceptually convincing details (called Latent Adversarial Generator (LAG))
For project and code or API request: https://www.catalyzex.com/paper/arxiv:2003.02365
For project and code or API request: https://www.catalyzex.com/paper/arxiv:2003.02365
CatalyzeX
Creating High Resolution Images with a Latent Adversarial Generator: Paper and Code
Creating High Resolution Images with a Latent Adversarial Generator. Click To Get Model/Code. Generating realistic images is difficult, and many formulations for this task have been proposed recently. If we restrict the task to that of generating a particular…
Yann LeCun thinks tensor networks are similar to convolutional neural networks
http://www.preposterousuniverse.com/blog/2015/05/05/does-spacetime-emerge-from-quantum-information/
http://www.preposterousuniverse.com/blog/2015/05/05/does-spacetime-emerge-from-quantum-information/
A Metric Learning Reality Check
Musgrave et al.: https://arxiv.org/abs/2003.08505
"Our results show that when hyperparameters are properly tuned via cross-validation, most methods perform similarly to one another"
#ArtificialIntelligence #DeepLearning #MachineLearning
Musgrave et al.: https://arxiv.org/abs/2003.08505
"Our results show that when hyperparameters are properly tuned via cross-validation, most methods perform similarly to one another"
#ArtificialIntelligence #DeepLearning #MachineLearning
Text classification with Transformer
Apoorv Nandan, Colab : https://colab.research.google.com/github/keras-team/keras-io/blob/master/examples/nlp/ipynb/text_classification_with_transformer.ipynb
#ArtificialIntelligence #DeepLearning #Transformer
Apoorv Nandan, Colab : https://colab.research.google.com/github/keras-team/keras-io/blob/master/examples/nlp/ipynb/text_classification_with_transformer.ipynb
#ArtificialIntelligence #DeepLearning #Transformer
Google
text_classification_with_transformer
Run, share, and edit Python notebooks
NVIDIA’s New Ampere Data Center GPU
NVIDIA A100 GPU is a 20x AI performance leap and an end-to-end machine learning accelerator : https://nvidianews.nvidia.com/news/nvidias-new-ampere-data-center-gpu-in-full-production
#NVIDIA #GPU #DeepLearning
NVIDIA A100 GPU is a 20x AI performance leap and an end-to-end machine learning accelerator : https://nvidianews.nvidia.com/news/nvidias-new-ampere-data-center-gpu-in-full-production
#NVIDIA #GPU #DeepLearning
NVIDIA Newsroom
NVIDIA’s New Ampere Data Center GPU in Full Production
New NVIDIA A100 GPU Boosts AI Training and Inference up to 20x; NVIDIA’s First Elastic, Multi-Instance GPU Unifies Data Analytics, Training and Inference; Adopted by World’s Top Cloud Providers and Server Makers
Using Reinforcement Learning in the Algorithmic Trading Problem
Ponomarev et al.: https://arxiv.org/abs/2002.11523
#DeepLearning #ReinforcementLearning #Trading
Ponomarev et al.: https://arxiv.org/abs/2002.11523
#DeepLearning #ReinforcementLearning #Trading