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Eclipse iceoryx2™ - the zero-copy data plane with a Rust core
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with C…
Open source Ghostty-based macOS terminal with vertical tabs and notifications. Built for AI coding agents and programmability.
PythoC is a Python DSL compiler that compiles statically-typed Python to LLVM IR, providing C-equivalent runtime capabilities with Python syntax and compile-time metaprogramming.
Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video.
Complete end-to-end setup for maximizing DGX Spark compute for AI Workloads
[CVPR 2025] Official PyTorch implementation of "EdgeTAM: On-Device Track Anything Model"
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷 🇷🇺
PyTorch code and models for the DINOv2 self-supervised learning method.
A playbook for systematically maximizing the performance of deep learning models.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
A Python library for Continual Inference Networks in PyTorch
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.