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followers: 33.0 following: 3.0 repos: 47.0 gists: 0.0

Name: Tejas Krishna Reddy

Type: User

Bio: MS in NEU, Boston, MA, USA. Machine Learning and Computer Vision. Hobby - Finding Research Gaps. Passion - Solving Them :)

Location: Philadelphia

Blog: https://www.linkedin.com/in/tejas-k/

Tejas Krishna Reddy's Projects

algorithms-and-c-plus-plus

Cplusplus and Python code snippets for challenges in HackerRank. **For personal reference.**

automated-region-masking-of-latent-overlapped-fingerprints

The tedious manual process involved in the first step of overlapped fingerprint separation was completely automated using this algorithm. Published in IPACT, IEEE conference

automatic-npr-using-unique-edge-detection-algorithm-and-smarter-analysis-through-iot

An improvised version of ANPR system has been implemented and a unique prototype was developed to avail maximum benefits to the society using ANPR systems using IoT protocols.

automating-whatsapp-messages-from-python

Code to send whatsapp messages to friends through python, can also be scheduled, or the final results can be texted on whatsapp.

breast_cancer-classification-through-knn_classifier.

Real world data was modeled to predict if the patient had benign or malignant breast cancer using K-Nearest-Neighbors and SVM Classifiers.

character-recognition-through-deep-learning

Basic Deep Learning character recognition model which could be used in various OCR required situations.

cifar10-image-classification-using-mlp-in-tf-backend.

Using TensorFlow backend, multiple methods and their results to achieve best classification for CIFAR10 image dataset. Edit: I have also included a complete keras guide (Colab Notebook) to build CNN-single Layer, CNN-Multi Layer and Transfer learning based CIFAR10 classification.

copy-move-forgery-detection-using-hu-s-invariant-moments

Through the proposed algorithm, the features extracted from the image can be reduced to as less as 1 feature per block. Paper Published in 3rd IEEE conference(RTEICT) 2018, SVCE college, Bangalore.

cudnnlstm-vs-lstm-speed-test-on-mnist-character-recognition

All new projects using NN, RNN, CNN etc are uploaded in this repository for personal reference.

custom-knn-imputation-algorithm

Python function to do KNN Imputation. Sklearn package dosen't have an option to use different distances/or a chance to impute mode/median instead of mean.

discreet-cosine-transform-dct-singular-value-decomposition-svd-based-copy-move-forgery-detection

Implementing Copy Move Forgery Detection using DCT or SVD transformations. Also, a clear explanation is provided in the READme section

dlib-face-landmarks-detection-and-head-pose-adjustment

Sound Recognition and Face Detection based on Landmarks. It also suggests people to adjust the pose of their head.

emotion_recognition

Human Emotion Recognition using Machine Learning - MATLAB project with proper description/ comments and ways to improve the results for your data base.

genetic-algorithm-passwordhack

With a known answer the algorithm finds a way to reach the answer by itself. The code here is very basic and can be improved in a million ways but gives a clear essence of GA effect.

hackathonbeer-score-predictiondisparate-programs-using-neural-net__convolutional-neural-net.

Regression Using NeuralNet and CNN and a detailed analysis over the results obtained from regression techniques in ML and DL.

house_price_prediction_hackathon

"3rd PRIZE WINNER" Hackathon: Predicted price of the houses located in Bangalore, India - over a real time large scale data provided by the hackathon team.

hu-s-invariant-moments-in-matlab

An improved and tested code to produce Hu's Invariant moments for any Image/ Audio signals. Hu's Invariant Moments are One of the Best Feature Extraction Techniques for Further Analysis.

image-captioning

Image caption generating based NN Project.

image-stitching-panorama

From a set of images with overlapping content, we use Harris features to attach them all together into a single Panoramic Image

imputation

Imputation

increase-num-of-images-in-the-database-to-improve-efficiency-for-your-ml-based-projects.

Duplicating parts of the images in the database to increase the number of images is a common technique to increase accuracy of your ML project (instead of adding new images to the database). The code to implement the same is provided here.

intensity-brightness-invariant-cmfd

An algorithm that is completely robust to Intensity/ Brightness varied copy move forgery is proposed in this algorithm.

intruder-face-capture.

This is the initial part of most image processing projects. Creating database from live video and many more applications as described in the Readme file.

keras-based-binary-classification-over-movie-reviews-using-deep-neural-net-and-nlp

The program used more than 10k reviews as data to predict if an input movie review is good or bad based on the words used in the review using Neural Networks and NLP techniques.

lidar-based-slam

Robotics Sensing and Navigation, Localization and Mapping in Python using Open3D library.

machine-learning-and-pattern-recognition

Class Projects, homeworks and assignments for personal reference.

machine-learning-in-cyber-security

Course Projects at Northeastern University. Some really good projects are here with datasets.

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