GitiHubi / deepAILinks
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
☆208Updated 6 years ago
Alternatives and similar repositories for deepAI
Users that are interested in deepAI are comparing it to the libraries listed below
Sorting:
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 6 years ago
- The Financial Audit Data Analytics Paper Collection is an academic paper collection that encompasses data analytics, machine learning, an…☆61Updated 4 years ago
- This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…☆74Updated 6 years ago
- Various methods for generating synthetic data for data science and ML☆81Updated 4 years ago
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆230Updated 7 years ago
- ☆109Updated 2 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Demand Forecasting Models for Kaggle competition☆86Updated 7 years ago
- Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much m…☆112Updated 6 years ago
- ☆136Updated 7 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Analysis for Customer Segmentation☆72Updated 5 years ago
- BERT for Finance : UC Berkeley MIDS w266 Final Project☆204Updated 5 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆105Updated 2 years ago
- Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑☆53Updated 11 months ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆72Updated 4 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆64Updated 2 years ago
- Dockerize and deploy machine learning model as REST API using Flask☆78Updated 2 years ago
- ☆49Updated 6 years ago
- ☆27Updated 7 years ago
- Time-series forecasting using H2O's AutoML example☆47Updated 6 years ago
- An LSTM Autoencoder for rare event classification☆107Updated 5 years ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 8 years ago
- Repository to maintain all my clutter☆74Updated 4 years ago
- AML End to End Example☆55Updated 3 years ago
- Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari☆84Updated 6 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 5 months ago
- Model to accurately forecast inventory demand based on historical sales data.☆64Updated 9 years ago