krishnakumarbhat

krishna's repositories

AVSRinRNN

Audio-visual speech recognition using a combination of RNN and LSTM networks for integrating audio and visual features, achieving state-of-the-art accuracy on the LRS dataset.

Language:Jupyter Notebook200

RoundRobinArbiter

RR-Arbiter: Verilog implementation of a fair, rotating grant selector for multiple request sources. Allows equal access to shared resource.

Language:Verilog300

SmartThermo

Temperature control system using linear regression and DHT11 sensor to predict and maintain a comfortable temperature in a room. Uses historical data and sensor readings to adjust thermostat.

Language:Assembly200

This is an Open source stock market AI refers to artificial intelligence tools and platforms that are developed and shared freely with the public. These tools and platforms may be used by individuals or organizations to analyze and make predictions about the stock market, with the aim of improving investment decisions.

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Multi-Tiered-Hybrid-IDS-for-Internet-of-Vehicles

Language:Jupyter Notebook300

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

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lungcancer

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Intrusion_Detection_using_decision_tree

Intrusion detection system (IDS) has become an essential layer in all the latest ICT system due to an urge towards cyber safety in the day-to-day world. Reasons including uncertainty in ﬁnding the types of attacks and increased the complexity of advanced cyber attacks, IDS calls for the need of integration of Deep Neural Networks (DNNs). In this paper, DNNs have been utilized to predict the attacks on Network Intrusion Detection System (N-IDS). A DNN with 0.1 rate of learning is applied and is run for 1000 number of epochs and KDDCup-’99’ dataset has been used for training and benchmarking the network. For comparison purposes, the training is done on the same dataset with several other classical machine learning algorithms and DNN of layers ranging from 1 to 5. The results were compared and concluded that a DNN of 3 layers has superior performance over all the other classical machine learning algorithms.

Language:Jupyter Notebook300

datsetfsvmknn

project on leaf diseases

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facerecognation

Language:Python300

keli

thise is for keli 8051 projects

Language:Assembly300

Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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micropython

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

NOASSERTION200

innovathon-landing-page

Language:HTML200

sql-injection-payload-list

🎯 SQL Injection Payload List

MIT000

machine_learning_examples

A collection of machine learning examples and tutorials.

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duino-coin

ᕲ Duino-Coin is a coin that can be mined with almost everything, including Arduino boards.

MIT200

30-Days-Of-JavaScript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.

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