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Amit Gupta's Projects

ai icon ai

Generative adversarial network (GAN)- Two neural networks contest with each other in a game (in the sense of game theory, often but not always in the form of a zero-sum game). Given a training set, this technique learns to generate new data with the same statistics as the training set. For example, a GAN trained on photographs can generate new photographs that look at least superficially authentic to human observers, having many realistic characteristics. Though originally proposed as a form of generative model for unsupervised learning, GANs have also proven useful for semi-supervised learning,[2] fully supervised learning,[3] and reinforcement learning.[4] In a 2016 seminar, Yann LeCun described GANs as "the coolest idea in machine learning in the last twenty years".[5]

camel icon camel

Apache Camel POC Project. Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.

kafka icon kafka

Apache Kafka is an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

machinelearning icon machinelearning

machine learning with Spark -R implementation. SVM is used to identify the handwritten numbers. Liner regression is used to find out/predict house price. Supervised learning.Linear regression for regression problems. Random forest for classification and regression problems. Support vector machines for classification problems.

research_script icon research_script

Time is the most precious resource that human being has. According to a survey an average American is spending 2340 mins in traffic and conditions are worst in many well-developed cities like Los Angeles, where on an average commuter are spending 6120 hours in traffic jams. These non-productive hours could be used for many novel and humanitarian work. The goal of this research is to predict the traffic week in advance which will help commuter to plan his/her days better. This will lead us to have a better work-life balance, less traffic, better ecosystem in terms of pollution, fuel saving and more productivity.

sid1706 icon sid1706

Config files for my GitHub profile.

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