What are the tall items on python?

? Python, as the darling of programmers, gets more and more attention, and more and more applications are developed using Python. So, what are the big projects on Python? There are 10 of them:

1.NuPIC

It is a machine intelligent platform with the HTM learning algorithm as the tool. The HTM is the precise method of computation of the cortex. The core of HTM is the time-based continuous learning algorithm and the storage and revocation space-time patterns. Nupic is suitable for a wide variety of problems, especially for detecting anomalies and predicting stream data sources.

2.Hebel

It is a library program for deep learning of neural networks in the Python language, using Pycuda for GPU and cuda acceleration.

It is also the most important type of neural network model tool and can provide some different activation functions for active functions, such as power, Nesterov power, signal loss and stop method. 3.MILK

It is a machine learning toolkit under the Python language. It mainly uses supervised taxonomy in many available classifications such as SVMS,K-NN, random forest, decision trees, and it also performs feature selection.

These classifiers are combined in many ways to form different classification systems such as unsupervised learning, close relationship gold propagation, and K-means clustering supported by milk.

4. Nilearn

It is a Python module that can quickly statistically learn the neural image data. It uses the Scikit-learn Toolkit in the Python language and some applications for predictive modeling, classification, decoding, and connectivity analysis to perform multivariate statistics.

5. Scikit-learn

It is a Python module based on scipy for machine learning, characterized by a variety of classifications, regression and clustering algorithms including support vector machines, logistic regression, naive Bayesian classifier, random forest, Gradient boosting, clustering algorithm and Dbscan. Python numerical and scientific libraries Numpy and Scipy are also designed.

6.PyBrain

It is based on Python language reinforcement learning, artificial intelligence, neural network library abbreviation. The goal is to compare your algorithms by providing flexible, easy-to-use and powerful machine learning algorithms and testing in a variety of pre-defined environments.

7.Bob

It is a free tool for signal processing and machine learning. Its toolkit, written in Python and the C + + language, is designed to be more efficient and less development time, consisting of a large number of packages that handle image tools, audio and video processing, machine learning, and pattern recognition.

8.REP

It is a kind of environment which is provided in a harmonious and reproducible way for directing data mobile drive. There is a uniform classifier wrapper to provide a wide variety of operations, such as TMVA, Sklearn, Xgboost, Uboost, and so on, and it can train the classifier in a parallel way in a group. At the same time it also provides an interactive plot.

9.Pattern

It is a network mining module under the Python language. It provides tools for data mining, natural language processing, network analysis, and machine learning. It supports vector space model, clustering, support vector machine and perceptron and classifies with KNN classification.

10.Quepy

It is a Python framework that can be queried in a database query language by changing the natural language problem, which is simply defined as a different type of problem in natural language and database queries. So, without coding, you can build your own system that enters your database in a natural language.

Now Quepy provides support for the SPARQL and MQL query languages, and plans to extend it to other database query languages.

That's it (another: the rankings are in no particular order).

What are the tall items on python?