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This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.
Hierarchical self-organizing maps for unsupervised pattern recognition
Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Code for paper 'Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices'
Python library for classifier calibration
Code for AAAI poster 'Training up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm'
💬 NN-Based intent detection and middleware support for RiveScript
This project allows the use of machine learning to predict the ingredients of a recipe. In particular, it has been implemented on a poke recipe in which a series of ingredients (i.e. 8) are passed as input and the software returns 2 missing (for example the topping and the sauce). The model used is Multi Target Forest and Scikit Learn ML library
Fruit Classifier with ANN
automatically geocode aid projects by applying natural language processing techniques
Classification of Clear Cell Renal Cell Carcinoma using CT textural feature analysis
Web/PHP based image annotator that creates Darknet/YOLO txt files.
Human skin detection and segmentation 👨👩👧👦
Final Project submitted CIS 600 Data Mining Course Spring 2020. Supervised ML project on a job posting dataset to predict fake postings.
Contains the codes for Extended Histogram of Gradients for object recognition developed by me during my PhD studies.
Vehicle detection in dash cam video
source : zero-to-mastery https://github.com/mrdbourke/zero-to-mastery-ml
AI Final. A pet that changes behavior as you take care of it
🏎️ Vehicle Detection Project using OpenCV and scikit-learn for the Self-Driving Car Nanodegree at Udacity
Improving diversity of class-conditional generative networks (cGANs) for image classification, using sample reweighting and boosting techniques
randomjs converted to U++ conventions
Ariba Code-A-Thon 2018
Fake news related to the coronavirus pandemic has now become a huge problem since false information can lead to worry and concerns regarding the disease. It is not possible to perfectly detect fake news unless the news has been labelled fake or real. Therefore, I have taken this issue as my problem and have developed a project that can detect fake news regarding Covid19 pandemic with the help of the dataset from Kaggle containing Covid19 public media information. I have also used different machine learning classifiers to check which classifier is best suited for the detection
A simple client-side, browser-based application for manually adding pre-defined labels to images as quickly as humanly possible.
Project for Computational Aspects of Robotics Course from Columbia University's School of Engineering and Applied Science, March 2023
This is a repository of some of my machine learning programming musings and projects including the movielens and imdb movie recommender systems on which I have published a research paper in an IEEE conference.
Data Analysis - university team project.
Classificadores vizinho mais próximo, k-vizinhos mais próximos e centroíde programados em Haskell para primeiro e segundo o trabalho computacional de Programação Funcional.
Comment classifier model trainer using keras tensorflow, stanza tokenizer and transformers.
ML-model used to mitigate JS attacks with encoded / minified/ uglified JS code snippets
A playground to test brain.js classification based on various datasets
Welcome to gaegul's Repository Of Second Team Project : Predict Whose Credit Is Delinquency
Using four Classifier -