Python for Data Science Tips, Tricks, and Techniques.zip
189.8 MB
Python for Data Science Tips, Tricks, and Techniques
Ex_Files_Python_for_Data_Science_Tips.zip
4.8 MB
π¦ Exercice Files
pandas.pdf
548.9 KB
Data_Science Pandas
Data Science Bookcamp Five real-world Python projects.pdf
42.4 MB
Data Science Bookcamp
Leonard Apeltsin, 2021
Leonard Apeltsin, 2021
π3
30646081.pdf
11.7 MB
Managing Machine Learning Projects
ΠΠ²ΡΠΎΡ: Simon Thompson
ΠΠ²ΡΠΎΡ: Simon Thompson
Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
Publication date: 03 Jul 2024
Topic: Contrastive Learning
Paper: https://arxiv.org/pdf/2407.02911v1.pdf
GitHub: https://github.com/fiy2w/mri_seq2seq
Description:
We propose a generative model that compresses discrete representations of each sequence to estimate the Gaussian distribution of vector-quantized common (VQC) latent space between multiple sequences. Moreover, we improve the latent space consistency with contrastive learning and increase model stability by domain augmentation.
Publication date: 03 Jul 2024
Topic: Contrastive Learning
Paper: https://arxiv.org/pdf/2407.02911v1.pdf
GitHub: https://github.com/fiy2w/mri_seq2seq
Description:
We propose a generative model that compresses discrete representations of each sequence to estimate the Gaussian distribution of vector-quantized common (VQC) latent space between multiple sequences. Moreover, we improve the latent space consistency with contrastive learning and increase model stability by domain augmentation.
π2
OrientedFormer: An End-to-End Transformer-Based Oriented Object Detector in Remote Sensing Images
Publication date: IEEE Transactions on Geoscience and Remote Sensing 2024
Topic: Object detection
Paper: https://arxiv.org/pdf/2409.19648v1.pdf
GitHub: https://github.com/wokaikaixinxin/OrientedFormer
Description:
In this paper, we propose an end-to-end transformer-based oriented object detector, consisting of three dedicated modules to address these issues. First, Gaussian positional encoding is proposed to encode the angle, position, and size of oriented boxes using Gaussian distributions. Second, Wasserstein self-attention is proposed to introduce geometric relations and facilitate interaction between content and positional queries by utilizing Gaussian Wasserstein distance scores. Third, oriented cross-attention is proposed to align values and positional queries by rotating sampling points around the positional query according to their angles.
Publication date: IEEE Transactions on Geoscience and Remote Sensing 2024
Topic: Object detection
Paper: https://arxiv.org/pdf/2409.19648v1.pdf
GitHub: https://github.com/wokaikaixinxin/OrientedFormer
Description:
In this paper, we propose an end-to-end transformer-based oriented object detector, consisting of three dedicated modules to address these issues. First, Gaussian positional encoding is proposed to encode the angle, position, and size of oriented boxes using Gaussian distributions. Second, Wasserstein self-attention is proposed to introduce geometric relations and facilitate interaction between content and positional queries by utilizing Gaussian Wasserstein distance scores. Third, oriented cross-attention is proposed to align values and positional queries by rotating sampling points around the positional query according to their angles.
π2
OpenAI Snags Chat_com
OpenAI has acquired the premium domain name Chat.com and is now redirecting it to ChatGPT.
* Makes ChatGPT more accessible with an easy-to-remember address.
Previously owned by HubSpot co-founder Dharmesh Shah
OpenAI has acquired the premium domain name Chat.com and is now redirecting it to ChatGPT.
* Makes ChatGPT more accessible with an easy-to-remember address.
Previously owned by HubSpot co-founder Dharmesh Shah