Python, Data Science, Machine learning, Computer vision & College Books and pdfs

Collections Of Books on Python:- from Easy to Advance:- Clean-code-in-python-refactor-your-2018.pdf Data Structures and Algorithms in C++ 2e ( PDFDrive.com ).pdf Probability and Statistics _for Data Science.pdf Python Unit Test Automation.pdf Python-Testing-with-pytest.pdf Python_and_Hacking_Made_Simple__F.pdf Python_for_Programmers.pdf SQL - The Ultimate Beginners Guide.pdf The Python 3 Standard Library by Example.pdf The_Elements_of_Statistical_Learning_Data_Mining,_Inference_and.pdf

Dlib library A toolkit for Real-world machine learning, computer vision, and data analysis in C++ (with Python bindings). DLib is an open source modern library with many machine learning algorithms and supporting functionality like threading and networking. In recent update it has a lot many new things . What makes DLib unique is that it is designed for both research use and creating machine learning applications. It has machine learning algorithms and supports functionality like threading and networking. Today in Computer vision for Face related application use of dlib Hog or MMOD CNN is the one of fastest method. Checkout Dlib page http://dlib.net/ GitHub https://github.com/davisking/dlib

Convert object detection dataset from one format to another in Python. It's under development. open source contribution also welcome. GitHub:- https://github.com/codePerfectPlus/dataset-convertor Currently supported format Pascal -> VOC to yolo5(txt) yolo -> Pascal-VOC(xml) leave star if it's useful.

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Another state-of-the-art archtecture for Vision tasks: Github: https://github.com/sail-sg/poolformer Paper: https://arxiv.org/abs/2111.11418 Datasets: ImageNet, COCO, Ade20k Colab: https://colab.research.google.com/github/sail-sg/poolformer/blob/main/misc/poolformer_demo.ipynb

PoolFormer: MetaFormer is Actually What You Need for Vision