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1. Custom_Semantic_Segmentation Custom_Semantic_Segmentation Public

   This project demonstrates semantic image segmentation using a custom architecture that combines MobileNetV2 and U-Net. It aims to accurately segment objects in images, showcasing a robust approach …

   Jupyter Notebook

2. -YOLOv8_Implementation- -YOLOv8_Implementation- Public

   Python scripts performing Instance Segmentation using the YOLOv8 model in ONNX.

   Python

3. Self_Supervised_Learning Self_Supervised_Learning Public

   See how much improvement we get with self-supervised learning as compared to baseline model without self-supervised learning.We pretrain the SimCLR model using the simclr loss we wrote, remove the …

   Jupyter Notebook

4. Fine_Tuning_DistilBERT_For_Sentence_Classification- Fine_Tuning_DistilBERT_For_Sentence_Classification- Public

   In this notebook, we will demonstrate the process of fine-tuning DistilBERT for sentiment analysis using a dataset of restaurant reviews. DistilBERT is a smaller, faster, and lighter version of BER…

   Jupyter Notebook

5. Self-Supervised-Network-with-contrastive-losses Self-Supervised-Network-with-contrastive-losses Public

   This code is a custom implementation of the Supervised Contrastive Learning paper (https://arxiv.org/abs/2004.11362).

   Jupyter Notebook

6. FineTuning-Llama2-with-QLora FineTuning-Llama2-with-QLora Public

   Welcome to this Google Colab notebook that shows how to fine-tune the recent Llama-2-7b model on a single Google colab and turn it into a chatbot

   Jupyter Notebook