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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 1

2. kalman-filter kalman-filter Public

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

   Python

3. object-segmentation 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

4. feed-forward-neural-network- feed-forward-neural-network- 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 1

5. CNN-from-scratch-only-using-numpy CNN-from-scratch-only-using-numpy Public

   i have developed cnn network from scratch only using numpy lib and my network contain 3 convolution layers 3 pooling layers and 4 dense layers with softmax relu and sigmoid activation function . i …

   Python 1

6. RAG-chatbot-for-whatsapp- RAG-chatbot-for-whatsapp- Public

   I have developed an AI chatbot that delivers human-like responses using the Retrieval-Augmented Generation (RAG) concept. The chatbot provides real-time replies with a delay of approximately 10 sec…

   Jupyter Notebook 1