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+# New Resourcecs for Review
+
+https://github.com/vinta/awesome-python
+
+
+Machine Learning Algorithms from scratch
+
+https://github.com/Gautam-J/Machine-Learning
+
+[Curated NLP Database List of 1000+ Natural Language Processing Datasets](https://metatext.io/datasets)
+
+https://github.com/jwasham/coding-interview-university
+
+https://github.com/aj-ames/Centerface-Deepstream
+
+https://github.com/kyclark/tiny_python_projects
+
+https://github.com/ageron/handson-ml2
+
+https://github.com/visenger/awesome-mlops
+
+https://github.com/garrettj403/SciencePlots
+
+https://github.com/whythawk/data-as-a-science
+
+https://github.com/TheAlgorithms/Python
+
+https://github.com/eugeneyan/applied-ml
+
+https://github.com/Rishit-dagli/Perceiver
+
+https://github.com/aj-ames/Activity-Recognition-TensorRT
+
+### Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
+
+https://github.com/dvgodoy/dl-visuals
+
+https://jakevdp.github.io/PythonDataScienceHandbook/
+
+https://github.com/huggingface/autonlp
+
+https://github.com/sayakpaul/Denoised-Smoothing-TF
+
+Maths https://github.com/Developer-Y/cs-video-courses#math-for-computer-scientist
+
+The algorithms https://github.com/TheAlgorithms/Python
+
+https://github.com/open-mmlab/mmdetection/tree/master/configs/fast_rcnn
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