There are no reviews yet. Be the first to send feedback to the community and the maintainers!
TrashBox
Dataset of trash objects for waste classification and detectionFinancial-Time-series-analysis-for-High-Frequency-Trading
Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market. In the field of High-Frequency Trading (HFT), forecasting for trading purposes is even a more challenging task since an automated inference system is required to be both accurate and fast. In this project, we have implemented a shallow-architecture methodology for the forecasting of financial time-series data, which gives state-of-the-art results. This architecture has been trained and tested on the benchmark Limit Order Book(LOB) FI-2010 dataset, and the corresponding results are compared and analyzed using a variety of measures.TrashBox-testandvalid
Dataset of trash objects for waste classification and detectionSalient-object-detection-using-MST
Machine-Learning-Approach-to-Software-Requirements-Prioritization
Using Genetic Algorithm to prioritize the software requirements of a projectHCI-project
Context-based-Flagging-of-objects-in-Satellite-Imagery
Forecasting-CPU-usage-using-LSTM
Driver-Drowsiness-detection-system
Driver drowsinness detection system is implemented in python and opencv. The aim is to make a system that can reduce the road accidents by sounding alarm when a driver is feeling sleepy.TrashBox-VGG19_model
Mitigating-Unfairness-and-Bias-in-Cold-Start-Recommenders
to study bias and fairness in recommender systems have focused on improving fairness and mitigating bias only in situations and for items where a history of the user profile already exists. In this project, we explore the bias against new items without any feedback history which are added to recommender systems.e-voting-system
E-commerce-application
MERN stack web applicationEmployee-Appraisal-Management-System
Mean stack web application to perform CRUD operations on employee database and on appraisal detailsAttack-and-Anomaly-Detection-in-IoT-Sensors-and-Sites-Using-Machine-Learning-Approaches
FuzzBuzz-TDD
Project on FuzzBuzz program using a software development process called Task-Driven Development (TDD) that relies on the repetition of a very short development cycle: requirements are turned into very specific test cases, then the code is improved so that the tests pass.Handwritten-digit-classification-using-CNN
Handwritten digit classification using CNN - Build two Neural Networks capable to perform handwritten digits classification using the MNIST dataset. The first Network is a simple Multi-layer Perceptron (MLP) and the second one is a Convolutional Neural Network (CNN). when given an input our algorithm will say, with some associated error, what type of digit this input represents.Love Open Source and this site? Check out how you can help us