kepler

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

A friendly package for Kepler & TESS time series analysis in Python.

Install Nvidia binaries files on Snapshot disk for macOS Monterey 12

Easy command line tools for Kepler, K2 & TESS data analysis.

Automating the vetting and validation of planet candidates from photometry survey missions - Kepler and TESS - using deep learning methods

A set of Lambert's problem solvers

A custom LLM inference engine for low-cost GPUs: NVIDIA cards from a 1 GB Quadro K420 to an RTX 3080, the AMD Radeon 780M and the CPU. Runs the Bonsai 2B to 27B models and Nemotron with an OpenAI-compatible server.

🗾 Streamlit Component for rendering kepler.gl maps

De-trending of K2 Light curves

Carbon Limiting Auto Tuning for Kubernetes

Consuming NASA API to visualize exoplanets data in a Flutter app

automated measurements of global asteroseismic parameters

Ziggy, a portable, scalable infrastructure for science data processing pipelines, is the child of the Transiting Exoplanet Survey Satellite (TESS) pipeline and the grandchild of the Kepler Pipeline.

Easy and versatile open-source code to explore Kepler, K2 and TESS data in the search for exoplanets

Kepler, an Open Game Engine

Out-of-tree Nouveau DKMS driver and dynamic power/clock governor unlocking full Core, Shader, VRAM, Voltage, and PCIe reclocking, S3 recovery, and modern compute/display features for pre-Nova NVIDIA GPUs on Linux.

Futuristic / minimal font family.

🅿 Moscow parking map created with Kepler.Gl

Hybrid CNN-Transformer model for automated exoplanet transit detection on NASA Kepler light curves. Features dual scale CNN branches, Transformer based sequence modelling, Grad CAM + SHAP + attention explainability, and Monte Carlo Dropout uncertainty quantification. 5 fold cross validated with baseline comparisons.