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1. GoogleNet_from_scratch_implimentation GoogleNet_from_scratch_implimentation Public

   i have implimented google net architecture from scratch using pytorch . Data set used for training is cifar-10 which 96 percent accuracy in just 20 epochs

   Python

2. magma-system-kalman-filter magma-system-kalman-filter Public

   i have implimented 1D kalman filter and 2D kalman filter for object tracking

   Python

3. magma-system-object-detection magma-system-object-detection Public

   i have trained yolo model for realtime detection on 2 different data set one include apple class and other one include different fruit classes . i have achive high accuracy and speed by doing fine …

   Jupyter Notebook

4. magma-system-object-segmentation magma-system-object-segmentation Public

   i have trained yolo model for realtime segmentation on different data set with different number of clases achiving real time object segmentation with 99 percent accuracy for both object detection a…

   Jupyter Notebook

5. magma-system-FFN magma-system-FFN Public

   i have implimented Feed forward neural network from scratch only using numpy and trained it on minst data set with achiving the accuracy of 98.35 percent.it has total 4 layers in which there are 2 …

   Python