Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
47,133 repositories indexed
97–120 of 122 · Most stars
Research experiments exploring uncommon quant techniques.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
common lisp library providing common math functions used in games
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
OpenCL based GPU accelerated SPH fluid simulation library
MCP server for spatial transcriptomics analysis through natural language interfaces.
💬 Trace citation chains for any concept across research papers and render them as an interactive graph.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.
Multidimensional array similar to NumPy and NArray
Partial Commutative Monoids
📐✏️ Slides from my talk on Mathematics of Animation @ .concat() 2018
Generic 2D grid
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.
Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.
Ring solver for Idris
An effort to consolidate the needs and plans of individuals and organizations using Common Lisp to meet their numerical and scientific computing needs.
Coqtail is a library of mathematical theorems and tools proved inside the Coq proof assistant. Results range mostly from arithmetic to real and complex analysis. [maintainer=@jmadiot]
go-glmatrix is a golang version of glMatrix, which is "designed to perform vector and matrix operations stupidly fast".
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
Astronomical FITS image analysis tool for detecting asteroids, comets, satellites, moving objects, and transients in astrophotography data.
Constructive Solid Geometry for Actionscript 3