HYSEN LABS VERZEICHNIS

NVIDIA

Geprüfte Repositories, Klassifikationen und Analysen der Organisation NVIDIA.

28 kuratierte Open-Source-Projekte
NVIDIA

NemoClaw

22.463

Führen Sie Agenten wie Hermes, LangChain Deep Agents und OpenClaw mit verwalteter Inferenz sicherer in NVIDIA OpenShell aus.

TypeScriptKI & maschinelles Lernen3.085 Forks
14.627

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

Python2.745 Forks
NVIDIA

TensorRT

13.348

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

C++2.407 Forks
NVIDIA

cutlass

10.437

CUDA Templates and Python DSLs for High-Performance Linear Algebra

C++2.084 Forks
NVIDIA

garak

9.258

the LLM vulnerability scanner

Python1.282 Forks
NVIDIA

OpenShell

8.615

OpenShell is the safe, private runtime for autonomous AI agents.

Rust1.252 Forks
NVIDIA

warp

7.117

Ein Python-Framework für GPU-beschleunigte Simulation, Robotik und maschinelles Lernen.

PythonKI & maschinelles Lernen618 Forks
NVIDIA

DALI

5.759

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

C++676 Forks
NVIDIA

cuml

5.277

NVIDIA cuML: GPU-Accelerated Machine Learning

Python674 Forks
NVIDIA

nccl

5.092

Optimized primitives for collective multi-GPU communication

C++1.415 Forks
4.181

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Jupyter Notebook1.098 Forks
3.810

Eine einheitliche Bibliothek von SOTA-Modelloptimierungstechniken wie Quantisierung, Destillation, Bereinigung, neuronale Architektursuche, spekulative Dekodierung usw. Sie komprimiert Deep-Learning-Modelle für nachgelagerte Bereitstellungsframeworks wie TensorRT-LLM, TensorRT, vLLM usw., um die Inferenzgeschwindigkeit zu optimieren.

PythonKI & maschinelles Lernen599 Forks
3.533

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

Python823 Forks
NVIDIA

skills

3.301

Projektüberblick: Agentenfähigkeiten für NVIDIA-Produkte, Installation in Claude Code, Codex und anderen Codierungsagenten, um Workflows für physische KI, Robotik, Simulation, CUDA und RAG durchgängig auszuführen. Fertigkeitskatalogprodukt | Beschreibung | Fähigkeiten | AIQ | NVIDIA AI-Q Blueprint – Stellen Sie lokale AI-Q-Dienste bereit und führen Sie flache oder tiefgreifende Forschungsworkflows als Agentenfähigkeiten aus.

Python394 Forks
3.253

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Python783 Forks
2.632

The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.

Python755 Forks
NVIDIA

kvpress

1.209

LLM KV cache compression made easy

Python179 Forks
NVIDIA

raft

1.042

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Cuda250 Forks