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1. Restoring_Classics_to_4K Restoring_Classics_to_4K Public

   Developed an image colorization pipeline utilizing Non-Local Means, Total Variation, and Wavelet Denoising for noise removal, with SIFT and ResNet backbones for feature extraction on ImageNet-1k, a…

   Jupyter Notebook

2. Optimal_Transport_Aggregation_For_Robust_Textual_Descriptors Optimal_Transport_Aggregation_For_Robust_Textual_Descriptors Public

   This project enhances text encoders' global descriptors by implementing advanced aggregation techniques from computer vision literature, to improve sentence-level representations. We utilize models…

   Python

3. Attention_Is_All_You_Need_From_Scratch Attention_Is_All_You_Need_From_Scratch Public

   Implementation of the NeurIPS 2017 paper "Attention is All You Need" from scratch

   Jupyter Notebook

4. Parameter_Efficient_Fine_Tuning Parameter_Efficient_Fine_Tuning Public

   Implementation of the following parameter-efficient fine-tuning methods on GPT-2 for summarization: Soft prompt tuning by optimizing prefix embeddings, LoRA, and fine-tuning only the last classifie…

   Python

5. Mobile-Robotics-M23 Mobile-Robotics-M23 Public

   Coursework done as part of the Mobile Robotics course offered in Monsoon 2023 by Prof. Madhava Krishna, IIITH

   Jupyter Notebook

6. Statistical-Methods-In-AI-M23 Statistical-Methods-In-AI-M23 Public

   Coursework done as part of the Statistical Methods in AI course offered in Monsoon 2023 by Prof. Ravi Kiran Sarvadevabhatla, IIITH. Topics covered include KNNs, Decision Trees, Dimensionality Reduc…

   Jupyter Notebook 1