Difference between revisions of "Machine Learning Resources"

From Wiki2
Jump to navigation Jump to search
 
Line 36: Line 36:
 
* [https://github.com/OlafenwaMoses/ImageAI Image AI] ()
 
* [https://github.com/OlafenwaMoses/ImageAI Image AI] ()
 
* [https://towardsdatascience.com/object-detection-and-tracking-in-pytorch-b3cf1a696a98 Object detection PyTorch]
 
* [https://towardsdatascience.com/object-detection-and-tracking-in-pytorch-b3cf1a696a98 Object detection PyTorch]
 +
* [https://github.com/ayooshkathuria/pytorch-yolo-v3 Yolo_v3 Pytorch Implementation]
  
 
==Articles==
 
==Articles==

Latest revision as of 08:29, 14 July 2019

Key Frameworks:

Commonly used loss functions including pointwise, pairwise, and listwise losses. Commonly used ranking metrics like Mean Reciprocal Rank (MRR) and Normalized Discounted Cumulative Gain (NDCG). Multi-item (also known as groupwise) scoring functions. LambdaLoss implementation for direct ranking metric optimization. Unbiased Learning-to-Rank from biased feedback data.)

Neural Network Interpretability


Python Notebook Examples

Image Quality Assessment


Transfer Learning


Object Recognition In Images

Articles