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👋 Hi, I’m @HrithikRai

I am a Full stack Data scientist with over 4 years of immersive industrial experience. From taking an idea from the proof of concept until production, with holistic collaboration followed by utmost dedication and unwavering commitment to deliver the best product possible under the given resources and time, I find joy in delivering satisfaction..

Wanna know more or want to collaborate? - Visit my portfolio.

# Hrithik Rai Saxena's Projects

autoencoder-as-an-end-to-end-communication-system icon autoencoder-as-an-end-to-end-communication-system

In this project, we train an autoencoder for information transmission over an end-to-end communication system, where the encoder will replace the transmitter tasks such as modulation and coding along with adding redundancy and the decoder will replace the receiver tasks such as demodulation and decoding. In the end we will compare our Autoencoder’s performance with different Modulation schemes like QPSK and 8PSK.

clustering icon clustering

Coded Examples of Different types of Clustering Techniques...

computer_vision icon computer_vision

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

faced icon faced

faced is a light-weight library to identify faces and it's features such as eyes, nose and mouth

hey-you icon hey-you

Face detection, face recognition and gender detection with OpenCV

hrithik_portfolio icon hrithik_portfolio

Hey there...Glad you landed here...These are some of my Data Science Projects.

parallelization-of-insertion-sort-using-openmp icon parallelization-of-insertion-sort-using-openmp

Write a parallel program, which reads and sorts file sort.txt increasingly according to the 1st column (and 2nd if the values in 1st column are equal) to output file sorted.txt. Number of items (lines) is determined by reading (until EOF or error)

pretrained.ml icon pretrained.ml

Compilation of pre-trained deep learning models with demos and code.

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