We will create multi Platform and Multi functional APIs like algorithm selection, training and tuning, Head to Head model Competition, Preprocessing Of Data, Regression, text simplification, Spam filter, Speech Recognition, Sentimental Analysis, Text Summarization, Question Answering, Image processing, Video processing, Object detection and tracking, emotion analysis, character recognition. We will create an AI and ML based software for school and college students. which will analysis the activities and interest of students and give them a career guide to make them feel stress free about their career. This AI based software can solve on trend real world problems to make our lives much easier. Introduction Video: https://www.youtube.com/watch?v=N7SoXms3kkM
Exploratory Data Analysis
For extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation. For building Virtual Agent, we use pandas to load, view and analyse data from csv file; and we use numpy to find out the indices of maximum values of an array.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python 37439 Version:v2.0.0rc1 License: Permissive (BSD-3-Clause)
The fundamental package for scientific computing with Python.
Python 23036 Version:v1.24.2 License: Permissive (BSD-3-Clause)
matplotlib: plotting with Python
Python 17111 Version:v3.7.1 License: No License
Open Source Computer Vision Library
An Open Source Machine Learning Framework for Everyone
C++ 172599 Version:v2.12.0 License: Permissive (Apache-2.0)
A collection of design patterns/idioms in Python
Python 36941 Version:Current License: No License
Image processing in Python
Python 5321 Version:v0.20.0 License: Others (Non-SPDX)
scikit-learn: machine learning in Python
Python 53572 Version:1.2.2 License: Permissive (BSD-3-Clause)
Dynamic neural networks in Python with strong GPU acceleration
A collection of Machine Learning algorithms written from sctrach.
Jupyter Notebook 73 Version:Current License: No License
A toolkit for making real world machine learning and data analysis applications in C++
C++ 11846 Version:v19.24 License: Permissive (BSL-1.0)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
C++ 64612 Version:v2.0.0 License: Others (Non-SPDX)
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara
Python 9691 Version:Current License: Others (Non-SPDX)
Natural Language processing
Natural language processing is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.
Natural language tool-kit for Indian Language Processing
Python 6 Version:Current License: Strong Copyleft (GPL-3.0)
Stanford CoreNLP: A Java suite of core NLP tools.
Java 8907 Version:v4.5.4 License: Strong Copyleft (GPL-3.0)
SVG Text Blob Animationby claudiopome
HTML 0 Version:Current License: No License
unified analytics engine
Spark uses the Hadoop core library to talk to HDFS and other Hadoop-supported storage systems. Because the protocols have changed in different versions of Hadoop, you must build Spark against the same version that your cluster runs. Please refer to the build documentation at "Specifying the Hadoop Version and Enabling YARN" for detailed guidance on building for a particular distribution of Hadoop, including building for particular Hive and Hive Thriftserver distributions
Apache Spark - A unified analytics engine for large-scale data processing
Scala 35349 Version:Current License: Permissive (Apache-2.0)