Pinned Loading

1. Policy-Based-Deep-Reinforcement-Learning-with-Actor-Critic-REINFORCE-OpenAI-Gym Policy-Based-Deep-Reinforcement-Learning-with-Actor-Critic-REINFORCE-OpenAI-Gym Public

   This project implements Policy-Based Reinforcement Learning algorithms like REINFORCE and Actor-Critic in the CartPole-v1 environment. It explores different exploration strategies (ε-greedy, anneal…

   Python

2. Fine-Tuning-Cross-Encoders-and-Query-Expansion-with-LLMs-for-Information-Retrieval Fine-Tuning-Cross-Encoders-and-Query-Expansion-with-LLMs-for-Information-Retrieval Public

   This project focuses on fine-tuning cross-encoder re-rankers and evaluating them for the MS MARCO dataset. Additionally, it explores ensemble methods for combining different models' ranking outputs…

   Jupyter Notebook

3. Covid-19-Forecasting-using-AutoML-based-on-Adaptive-Drift-Detection-with-ADWIN-and-DDM Covid-19-Forecasting-using-AutoML-based-on-Adaptive-Drift-Detection-with-ADWIN-and-DDM Public

   This project implements an AutoML-driven adaptive drift detection framework for COVID-19 forecasting, leveraging ADWIN & DDM to dynamically adjust models in response to concept drift. It enhances p…

   Jupyter Notebook

4. Netflix-Recommender-Systems-Cosine-Collaborative-Matrix-Factorization Netflix-Recommender-Systems-Cosine-Collaborative-Matrix-Factorization Public

   This project implements various approaches for building recommender systems, including Cosine Similarity, Collaborative Filtering (user-based and item-based), and Matrix Factorization using Alterna…

   Python

5. Optimizing-Graph-Sampling-Techniques-for-Large-Scale-Network-Analysis Optimizing-Graph-Sampling-Techniques-for-Large-Scale-Network-Analysis Public

   This project optimizes graph sampling techniques for large-scale network analysis. It focuses on evaluating various sampling algorithms to preserve key graph properties like degree distribution and…

   Jupyter Notebook

6. Text-Categorization-using-Machine-Learning-on-20-Newsgroups-Dataset Text-Categorization-using-Machine-Learning-on-20-Newsgroups-Dataset Public

   This repository explores text categorization on the 20 Newsgroups dataset using Multinomial Naive Bayes, Random Forest, and SVM with Count, TF, and TF-IDF features. It identifies Random Forest with…

   Jupyter Notebook