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Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open Source Computer Vision Library

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Python Data Science Handbook: full text in Jupyter Notebooks

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Cross-platform, customizable ML solutions for live and streaming media.

Visualizer for neural network, deep learning and machine learning models

The fundamental package for scientific computing with Python.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Learn OpenCV : C++ and Python Examples