Popular GitHub Repositories for Analytical Derivatives

Investment Research for Everyone, Everywhere.

A crazy fast analytical database, built on bitmaps. Perfect for ML applications. Learn more at: http://docs.featurebase.com/. Start a Docker instance: https://hub.docker.com/r/featurebasedb/featurebase

Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

Open AI data scientist agent that automates complex data analysis tasks using the ReAct framework. Execute Python code locally or in the cloud, upload datasets, and generate detailed analytical reports with minimal setup.

This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥

Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.

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

An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analytical questions.

An analytical performance modeling tool for deep neural networks.

Causing: CAUsal INterpretation using Graphs

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

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

Official Implementation of "The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores"

:chart_with_upwards_trend: Find first derivatives of functions automagically

Automatic Differentiation Library

Scalable OLAP system for credit card transaction analysis, leveraging AWS S3, Databricks, and dbt. Features end-to-end batch processing pipeline, medallion architecture, and interactive fraud detection dashboards. Demonstrates expertise in cloud-based data engineering and advanced analytical modeling for financial data.

This project focuses on detecting cyberattacks using advanced analytical techniques and a deep learning model. It leverages structured datasets and explores the use of algorithms for detecting anomalies or malicious behavior in network traffic or system logs.

Identifying potential red flags using Watson NLU

Implied volatility is a key aspect when it comes to derivatives pricing. With the growing influence of machine learning in finance, I have investigated the use of LSTMs to forecast 1-day forward Implied Volatility.

Machine Learning Transition State Analysis (MLTSA) suite with Analytical models to create data on demand and test the approach on different types of data and ML models.