Game development frameworks and Tensorflow

Game development frameworks and Tensorflow

Yash Akhauri

Yash Akhauri

Jhunjhunu, Rajasthan

While training a neural network, you might be limited by your computer's resources, this project aims to circumvent that.

Game Development, Artificial Intelligence


This project aims to create a way to enable communication between two frameworks. Such as allowing a simulation in say Unity, to continuously send packets of data, that can be used by another computer in the local network to learn, or make inferences and return a suitable response. This can be useful for computationally expensive tasks, where both the simulation and the neural network are typically huge. In the link, you will see a blog indicating a rudimentary implementation of a local server client connection which has a simple neural network.

Looking for collaboration to improve the speed, and alternate methods to do this in a local network or even over the internet.


Socket programming and deep learning

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Tushaar G. updated status

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Tushaar Gangarapu

Hello everyone, I am Tushaar. I am currently pursuing my bachelors at NITK. I developed passion towards AI and Machine Learning, had mentored the same at a mentorship program and currently was working on "Real Time Sensor based Weather Analysis and Prediction using Cloud Analytics to Improve Agricultural Yield". At the moment all we have are basic regression models which actually work with an 80 percent efficiency approximately. The repositories related to both the mentorship program and the regression models can be found on my GitHub account.

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Sachin D. created project Distributed data storage system using Raft Consensus algorithm.

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Distributed data storage system using Raft Consensus algorithm.

Consensus algorithm solves the major problem in distributed systems; they ensure safety under all conditions including network delay, partitions, duplication, reordering. The Raft is a consensus algorithm for managing a replicated log, Raft leader election algorithm provides data replication and consistency across all the cluster nodes. Raft also includes a new mechanism for changing the cluster membership, which uses overlapping majorities to guarantee safety.

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Rafael S. created project Data Stream Mining

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Data Stream Mining

If the application data is very large and the recent data is the most important, by using data stream mining techniques we can extract knowledge to facilitate and simplify decision making. This project intends to study data streaming mining in internet networks, IoT sensors and social media. The machine learning algorithms need modifications to be adaptive and incremental. Modern code is also required to optimize computational resources.

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Abhirami A. updated status

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Abhirami A

I am working on face recognition. I did a summer project on theft detection and alert system where face recognition is used to recognize the intruder and alerts the authorized people through email and sms (basically an IoT project). I used HOG algorithm for face detection and and openface for face recognition which uses facenet's face embedding. I would like to explore more in deep learning.

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Bob Duffy

Folsom, CA, USA