Pinned Repositories
medicare-fraud-detection
A machine learning based application to help detect fraud among Medicare practitioners.
sandeshregmi's Repositories
sandeshregmi/medicare-fraud-detection
A machine learning based application to help detect fraud among Medicare practitioners.
sandeshregmi/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
sandeshregmi/AnomalyDetection-with-Autoencoder
sandeshregmi/Articles
References to the Medium articles
sandeshregmi/awesome-mlops
A curated list of references for MLOps
sandeshregmi/Credit-card-fraud-detection
comparison study of tab transformer and ft transformer for credit card fraud detection
sandeshregmi/DataScientistDiary
Repository created for blog purposes.
sandeshregmi/Depression-Detection
Comparing Selective Masking Methods for Depression Detection in Social Media
sandeshregmi/DS_Portfolio
sandeshregmi/Ecommerce-WebApp
E-Commerce site project in Python Django focuses mainly on dealing with online shopping, and order management
sandeshregmi/eda_app
Python Web App to Automate EDA
sandeshregmi/fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
sandeshregmi/GEE
Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
sandeshregmi/GPT-Doc-Summarizer
Streamlit webapp for token-efficient summarization of long files using GPT 3.5/4
sandeshregmi/great_expectations
Always know what to expect from your data.
sandeshregmi/HCPCS-Embeddings-For-Fraud-Detection
Learning semantic, dense representations for HCPCS procedure codes and evaluating on Medicare fraud prediction task.
sandeshregmi/healthcare_anamoly_detection
Building healthcare fraud detection using deep learning techniques: autoencoder, isolation forest, local outlier factor, and GANs for robust anomaly detection.
sandeshregmi/interactive-notebooks
Interactive notebooks for LADAL
sandeshregmi/lab-dashboard
sandeshregmi/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
sandeshregmi/MLOPs-en-R-con-Google-Cloud
Ejemplo de cómo realizar un proyecto de MLOps en R con Google Cloud y Github Actions
sandeshregmi/pymatch
sandeshregmi/PySpark
The repository contains examples of various pyspark tips and tricks
sandeshregmi/rag-demo
Retrieval-Augmented Generation Assistant Demo 🤖➕📚🟰❤️
sandeshregmi/shared_colab_notebooks
A Repo to store the Google Colaboratory Notebooks that I have created and shared
sandeshregmi/tab-transformer-pytorch
Implementation of TabTransformer, attention network for tabular data, in Pytorch
sandeshregmi/TabTransformerTF
TensorFlow implementation of TabTransformer
sandeshregmi/TabularDataProblem
Classification in TabularDataset
sandeshregmi/Threshold-Based-Feature-Selection
Python implementation of threshold based feature selection
sandeshregmi/udlbook
Understanding Deep Learning - Simon J.D. Prince