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Python toolbox to process large geospatial vector files faster.
Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Alternative R Frontend — a modern R console written in Rust
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
A tool for exploring each layer in a docker image
PostgreSQL backend for stac-fastapi using pgstac (https://github.com/stac-utils/pgstac)
Lightweight extension of the base R graphics system
[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Code for running baseline models/experiments with the Fields of The World dataset
Time-Series Anomaly Detection Comprehensive Benchmark
Tidy data frames and expressions with statistical summaries 📜
Cross-platform Rust rewrite of the GNU coreutils
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A unified PyTorch framework for semantic segmentation of satellite imagery. Supports multi-spectral data, state-of-the-art architectures, and seamless large-scale inference for Earth Observation ap…