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8-puzzle-solver

accident-prevention-on-mountainous-blind-spots

In the developing nations, road accidents are the significant reasons for death. For instance, if we look at the main 10 risky roads in the world, we can see that every one of them is a mountainous road. In the mountain roads, there will be tight bends and the roads will be restricted. In these sorts of circumstances, the driver of a vehicle cannot see vehicles approaching from the inverse side. A great many individuals lose their lives every year due to this issue. Since we are discuss-ing mountain roads, here the opposite side may lead to a precipice. The answer to this issue is cautioning the driver about the vehicle originating from the inverse side. This objective is achieved by building a module that will detect vehicle position and speed and aware of the driv-er in the vehicle of the incoming cars. These goals are achieved using fast and reliable V2V (Ve-hicle to Vehicle) communication. The modules in each respective car will exchange the data which will help to prevent mishaps, especially in mountainous curves.

adnan-khan7.github.io

brain-tumor-detection-segmentation-areacalculation

The model is medical application for detection of brain tumor from MRI images. In addition, segmentation of brain tumor and area calculation is done automatically for examination of MRI's image. With this application, even an ordinary person can precisely study the MRI images. The optimization algorithm used is OTSU's algorithm for automatic thresholding.

deit_convnext_knowledgedistillation

Learning with Knowledge Distillation for Fine Grained Image Classification

galai

Model API for GALACTICA

ivy

The Unified Machine Learning Framework

neural_style_transfer

Neural style transfer generates a new image by combining the content of one image with the style of another image. An appropriately chosen combination of content and style can provide very artistic looking images. Such a technique is used by apps like Prisma generating widely popular content on social media.

object-detection-in-aerial-images--a-case-study-on-performance-improvement

Object detection with Satellite Images

sustainability-challenge

tactilenet