VIVEK REDDY CHITHARI's Projects
๐ฌ๐ค Explore advanced NLP with Transformers! ๐ก A hands-on project covering 5๏ธโฃ major tasks: text summarization ๐, classification ๐ท๏ธ, question answering โ, named entity recognition ๐, and relationship extraction ๐ผ. Leverages Hugging Face's Transformers, PyTorch, SpaCy, NLTK, and more! ๐๐ ๏ธ๐ฅ Happy learning! ๐๐ป๐
๐ "Credit_Decisions" is an ML project ๐ผ that classifies credit applications ๐ณ predicting repayment likelihood. It offers explainability, offering insight into factors affecting the credit decision. ๐๏ธ Using AWS services and LightGBM model with SHAP for explanations, this project seeks to improve transparency in credit decisions. ๐ค๐๐ฆ
๐ Harness the power of LightGBM, CatBoost, TabTransformer & AutoGluon-Tabular in Amazon SageMaker ๐ for customer churn prediction. ๐ก๐ฑ๐๐ We employ Automatic Model Tuning (AMT) to train ML models ๐ง , identifying unhappy customers ๐ early to prevent business loss. ๐ธ Comparison of models included! ๐
๐ Detecting financial fraud ๐ณ๐ฐ using Graph Neural Networks (GNNs) ๐! Dive into how GNNs, Amazon SageMaker ๐งช, and the Deep Graph Library (DGL) collaborate to spot fraudulent transactions from complex datasets ๐ฅ. Leverage R-GCN models ๐ for multi-relational data ๐ฏ and enjoy better predictive performance ๐. Experiment with us! ๐ก๐
๐๐ฃ๏ธ "LipNet: Lip Reading Project" ๐ Transforms video frames ๐๏ธ into text ๐ using a spatiotemporal model ๐ง ๐ Achieves 95.2% accuracy ๐ on the GRID corpus, outperforming humans and previous models! Model training, data prep ๐๐, and inference ๐ก all included. Code can be run on StudioLab, nbviewer, and Google Colab ๐๐ป.
๐๐ง FashionGAN: Dive into this hands-on tutorial to learn about Generative Adversarial Networks (GANs) using the Fashion MNIST dataset. Master GAN basics while generating fashionable grayscale images! ๐๐ป #GAN #MachineLearning #AI
Free trading strategies for Freqtrade bot
A robot powered training repository :robot:
๐ A straightforward Go application simulating a conference booking system for "Go Conference". Users can book tickets ๐๏ธ, with their details stored in memory ๐พ. The app checks ticket availability, accepts user details ๐ค๐ฅ๐ง, books tickets, and simulates email delivery ๐ค. A hands-on project to dive into Go!
"It's just a coincidence professor!" is a plagiarism checker for source code. It uses the WagnerโFischer algorithm to precisely and accurately determine percentage similarity of two given strings. We also cross reference common sites like GitHub and Stackoverflow, for potential cheating.
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Collection of Kaggle Solutions and Ideas ๐
๐ค GPT For Y'all, a Streamlit-based language model application offering a range of features like basic language generation ๐ฌ, creative writing โ, text summarization ๐, few-shot learning ๐ฏ, and Python code generation ๐. An easy-to-use interface, designed for any language-related tasks. Your GPT model, our interface! ๐
THE TASK-1
๐ฆ AI-powered bird species object detection project leveraging Amazon SageMaker and the Single Shot Multi-Box Detection (SSD) algorithm. Utilizes the Caltech Birds dataset, provides detailed data prep, model training, hosting & testing instructions. Includes a bonus model improvement method. ๐๐ง ๐ฌ
Plagiarism detection using TF-IDF and cosine similarity.
Using machine learning to predict employee turnover in Python
๐งPredictive Maintenance: A comprehensive Jupyter ๐ guide to create a predictive model for turbofan engines ๐ using Amazon SageMaker ๐ง . It leverages NASA's Prognostic Center's dataset for authentic insights. Contribute, Fork & Improve! โ๏ธ๐๐ฌ๐งฎ #DataScience #AWS #PredictiveMaintenance
A simple plagiarism detection tool for python code
๐ Dive into custom recommender systems using Neural Collaborative Filtering (NCF) with this project! Utilizing the power of Amazon SageMakerโ๏ธ & TensorFlow 2.0๐ป, we experiment with MovieLens dataset๐ฌ for effective user-item interactions. Clone, build, and contribute! ๐ ๏ธ๐ซ๐
Web Application for checking the similarity between query and document using the concept of Cosine Similarity.