Popular GitHub Repositories for Credit Derivatives

Investment Research for Everyone, Everywhere.

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

Credit Risk analysis by using Python and ML

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

Amazon SageMaker Solution for explaining credit decisions.

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

[NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"

Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.

Causing: CAUsal INterpretation using Graphs

Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques ??

Implementation of feature engineering from Feature engineering strategies for credit card fraud

Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.

Credit card fraud detection using kafka,scikit,flask,cassandra

MLOps for deploying a Credit Risk model

Machine learning for financial risk management