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Source channel @githubtrending · Post #14949 · Jul 12

#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7

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djangoproject

@djangoproject · Post #193 · 10/31/2016, 12:33 PM

http://deeplearning.net/software/theano/tutorial/index.html#basics In terms of #algorithm availability, you can get plenty of algorithms out of the box with scikit-learn. And if you want to customize every detail of your #models, #Python has #Theano. In addition, Theano is easily configured to run on the #GPU, which gives you a cheap and easy way to get much higher speeds without having to change a single line of code or delve into performance details.

djangoproject

@djangoproject · Post #352 · 06/25/2017, 08:57 AM

https://stxnext.com/blog/2017/04/12/most-popular-python-scientific-libraries/ The most popular Python scientific libraries: #Astropy #Biopython #Cubes #DEAP #SCOOP #PsychoPy #Pandas #Mlpy #matplotlib #NumPy #NetworkX #TomoPy #Theano #SymPy #SciPy #scikit_learn #scikit_image #ScientificPython #SageMath #Veusz #graph_tool #SunPy #Bokeh