Computer vision
ultralytics
ultralytics/ultralytics
Training and inference tools for object detection, segmentation and pose estimation models.
★ 61,3K⑂ 11,7KPython
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Trending AI-projecten op GitHub
Volg actieve open-source AI-repositories rond LLM, agents, MCP, RAG en coderen, met sterren en geverifieerde projectgegevens.
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Inferentie, implementatie en runtime
ray
ray-project/ray
A distributed computing runtime for machine learning training, tuning and model serving.
★ 43,7K⑂ 8KPython
Inferentie, implementatie en runtime
ollama
ollama/ollama
A tool for running and managing large language models locally.
★ 180,2K⑂ 17,7KGo
Inferentie, implementatie en runtime
LocalAI
mudler/LocalAI
A local inference engine for self-hosting models and AI services.
★ 48,9K⑂ 4,4KGo
Inferentie, implementatie en runtime
jan
janhq/jan
A local AI chat application for running models on a personal computer.
★ 44,3K⑂ 3KTypeScript
Computer vision
yolov5
ultralytics/yolov5
A PyTorch-based object detection project with training, inference and export workflows.
★ 58K⑂ 17,5KPython
Agents en multi-agents
NemoClaw — Agent runtime and deployment tooling
NVIDIA/NemoClaw
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
★ 22,2K⑂ 3KPython
Inferentie, implementatie en runtime
llmgateway
theopenco/llmgateway
Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.
★ 1,6K⑂ 172TypeScript
Inferentie, implementatie en runtime
sglang
sgl-project/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
★ 32,2K⑂ 8,1KPython
Fine-tuning, training en data
DeepSpeed
deepspeedai/deepspeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
★ 43K⑂ 4,9KPython
Inferentie, implementatie en runtime
vllm
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
★ 89,5K⑂ 21KPython
Inferentie, implementatie en runtime
TensorRT-LLM — Optimized LLM inference
NVIDIA/TensorRT-LLM
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
★ 14,4K⑂ 2,7KC++
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