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. 825 google-research/tuning_playbook 27.606k A playbook for...
http://pandas.pydata.org/4. Matplotlib - 数据可视化库。产生 Publication quality figures。http://matplotlib.org/5. Scikit-learn - 机器学习库。用于数据挖掘和数据分析。http://scikit-learn.org/stable/6. TensorFlow - 深度学习库。由谷歌开源,用于机器学习,深度神经网络与人工智能。http://tensorflow....
Also tries to plot the result using the matplotlib-library bed2OfPisa Solver twoPhaseEulerFoam Demonstrates Usage of PyFoam to read the direction of gravity and feeding it into a goovyBC via global variables Case preparation Just call funkySetFields -time 0 multiRegionHeaterBuildFunctionObjects ...
matplotlib>=3.2.1InstallationJust type inpip install multi-imbalanceImplemented algorithmsOur package includes implementation of such algorithms, as:One-vs-One (OVO) and One-vs-all (OVA) ensembles [2], Error-Correcting Output Codes (ECOC) [1] with dense, sparse and complete encoding [9] , Gl...