Artificial Intelligence

Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.

Event Detection Using Bit Locality Sensitive Hashing & DBSCAN clustering on Twitter Data

URL: https://github.com/princesegzy01/bitLsh-TrendingTopic

Description:

Locality-sensitive hashing (LSH) is an algorithmic technique that hashes similar input such as tweets, documents, images e.t.c items into the same "buckets" with high probability. We used the concepts of LSH to detect Trending tweets on twitter data

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Cifer X (Customer's Expression Feedback Model)

URL: https://github.com/youngnishant/CiferX

Description:

So Much time got wasted for Users feedback which is not that efficient that it will help for further choice prediction, So this project will help us to get Real Time feedback through visual expressions and Vocals of our customer.

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Chainesis

URL: https://github.com/nikkhiel/chainesis

Description:

Chainesis project plans to produce analytics of blockchain transactions. The name Chainesis is inspired from the name of block zero in blockchain - Genesis block. . The analytics is supposed to identify spending pattens, transaction patterns, frequently interacting addresses, profile of address etc.

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