Pinned Loading

1. LoRA_Fine-Tuning_Without_GPUs_A_CPU-Efficient_Meta-Generation_Framework_for_LLMs LoRA_Fine-Tuning_Without_GPUs_A_CPU-Efficient_Meta-Generation_Framework_for_LLMs Public

   In this work, we focus on proposing a theoretically grounded set of methods to enable users with limited computational resources to generate their own LoRAs based on a bank of dataset and adapters…

   Python

2. Option_pricing_with_classic_machine_learning Option_pricing_with_classic_machine_learning Public

   End-to-end pipeline for options pricing using synthetic data, feature engineering, and machine learning (including neural networks). Supports European Vanilla and Worst-Off options, with automated …

   Jupyter Notebook

3. Grapevine_Leaves_Classification_CNN Grapevine_Leaves_Classification_CNN Public

   Used different pre-trained models like ResNet, VGG, Alexnet, and own designed architecture, to recognize grape breeds based on their leaves. Ended up in about 95% on validation data and 90% on out-…

   Jupyter Notebook 1

4. SR-MCL_Graph_Clustering SR-MCL_Graph_Clustering Public

   Used Python to implement the Soft Regularized Markov Clustering (SR-MCL) algorithm and tested it on an extensive real-world dataset, weighted yeast proteins interactome, for time complexity and per…

   Jupyter Notebook

5. Graph_Algorithms Graph_Algorithms Public

   C++ implementation of some of the most well-known graph algorithms in the simplest way. Mostly in non-OOP style because the algorithms itself and its performance were the main points.

   C++ 2

6. Akaskhoone/Akaskhoone Akaskhoone/Akaskhoone Public

   The server side of the "Akaskhoone", developed using Python and Django framework. Note: This project was developed in only four weeks as a part of the "Rahnema College" summer internship, 2018.

   Python 5