Liquodity_MOHEM.pdf
4.1 MB
Periodicity in Cryptocurrency Volatility and Liquidity #Cryptocurrency #Liquidity #Paper @Machine_learn
با عرض سلام دوستانی که نیاز به تهیه ی پکیچ ما دارند می تونن به ایدی بنده پیام بدن @Raminmousa . همچنین دوستانی که نیاز به مشاوره در رابطه با ابده های جدید ، کارهای عملی، پروپوزال و پایان نامه دارند می تونن با ایدی بنده یا شماره واتس اپ بنده 09333900804 در ارتباط باشند.
SSRN-id3755672.pdf
2.9 MB
Deep Learning for disentangling Liquidity-constrained and Strategic Default #DL #Liquidity #Paper @Machine_learn
Machine learning books and papers pinned «با عرض سلام دوستانی که نیاز به تهیه ی پکیچ ما دارند می تونن به ایدی بنده پیام بدن @Raminmousa . همچنین دوستانی که نیاز به مشاوره در رابطه با ابده های جدید ، کارهای عملی، پروپوزال و پایان نامه دارند می…»
Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review
Github: https://github.com/Ildaron/Laser_control
Paper: https://www.mdpi.com/2072-4292/13/21/4486
@Machine_learn
Github: https://github.com/Ildaron/Laser_control
Paper: https://www.mdpi.com/2072-4292/13/21/4486
@Machine_learn
🔹 LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
Github: https://github.com/amazon-research/indoor-scene-generation-eai
Paper: https://arxiv.org/abs/2111.05527v1
Dataset: https://paperswithcode.com/dataset/ai2-thor
@Machine_learn
Github: https://github.com/amazon-research/indoor-scene-generation-eai
Paper: https://arxiv.org/abs/2111.05527v1
Dataset: https://paperswithcode.com/dataset/ai2-thor
@Machine_learn
A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents
Github: https://github.com/extreme-classification/deepxml
Paper: https://arxiv.org/abs/2111.06685v1
Dataset: https://paperswithcode.com/dataset/extreme-classification
@Machine_learn
Github: https://github.com/extreme-classification/deepxml
Paper: https://arxiv.org/abs/2111.06685v1
Dataset: https://paperswithcode.com/dataset/extreme-classification
@Machine_learn
Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize
http://ai.googleblog.com/2021/12/improving-vision-transformer-efficiency.html
@Machine_learn
http://ai.googleblog.com/2021/12/improving-vision-transformer-efficiency.html
@Machine_learn
research.google
Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize
Posted by Michael Ryoo, Research Scientist, Robotics at Google and Anurag Arnab, Research Scientist, Google Research Transformer models consistentl...
General and Scalable Parallelization for Neural Networks
http://ai.googleblog.com/2021/12/general-and-scalable-parallelization.html
@Machine_learn
http://ai.googleblog.com/2021/12/general-and-scalable-parallelization.html
@Machine_learn
research.google
General and Scalable Parallelization for Neural Networks
Posted by Yuanzhong Xu and Yanping Huang, Software Engineers; Google Research, Brain Team Scaling neural networks, whether it be the amount of trai...
Movie Name Generation Using GPT-2
https://www.nbshare.io/notebook/976197999/Movie-Name-Generation-Using-GPT-2/
@Machine_learn
https://www.nbshare.io/notebook/976197999/Movie-Name-Generation-Using-GPT-2/
@Machine_learn
🎓 GAN-Supervised Dense Visual Alignment
Github: https://github.com/wpeebles/gangealing
Project: https://www.wpeebles.com/gangealing
Paper: https://arxiv.org/abs/2112.04894v1
Dataset: https://paperswithcode.com/dataset/celeba
@Machine_learn
Github: https://github.com/wpeebles/gangealing
Project: https://www.wpeebles.com/gangealing
Paper: https://arxiv.org/abs/2112.04894v1
Dataset: https://paperswithcode.com/dataset/celeba
@Machine_learn
🕷 Bayesian Active Learning (BaaL)
Github: https://github.com/ElementAI/baal
Documentation: https://baal.readthedocs.io.
Paper: https://arxiv.org/abs/2112.06586v1
Blog: https://www.elementai.com/news/2019/element-ai-makes-its-bayesian-active-learning-library-open-source
@Machine_learn
Github: https://github.com/ElementAI/baal
Documentation: https://baal.readthedocs.io.
Paper: https://arxiv.org/abs/2112.06586v1
Blog: https://www.elementai.com/news/2019/element-ai-makes-its-bayesian-active-learning-library-open-source
@Machine_learn
با عرض سلام دوستانی که نیاز به تهیه ی پکیچ ما دارند می تونن به ایدی بنده پیام بدن @Raminmousa . همچنین دوستانی که نیاز به مشاوره در رابطه با ابده های جدید ، کارهای عملی، پروپوزال و پایان نامه دارند می تونن با ایدی بنده یا شماره واتس اپ بنده 09333900804 در ارتباط باشند.
Training Machine Learning Models More Efficiently with Dataset Distillation
http://ai.googleblog.com/2021/12/training-machine-learning-models-more.html
@Machine_learn
http://ai.googleblog.com/2021/12/training-machine-learning-models-more.html
@Machine_learn
research.google
Training Machine Learning Models More Efficiently with Dataset Distillation
Posted by Timothy Nguyen1, Research Engineer and Jaehoon Lee, Senior Research Scientist, Google Research For a machine learning (ML) algorithm to b...