Owner
NVIDIA-NeMo
25 indexed repositories · View on GitHub
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Speech
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Auto...
Python · 18559 stars
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Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Python · 7264 stars
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Switchyard
Switchyard lets LLM applications route traffic across models and providers while preserving native OpenAI and Anthropic API compatibility...
Rust · 3331 stars
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DataDesigner
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
Python · 2312 stars
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labs-OO-Agents
NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
Python · 2270 stars
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Nemotron
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end refere...
Jupyter Notebook · 2137 stars
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RL
Scalable toolkit for efficient model reinforcement
Python · 2051 stars
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Curator
Scalable data pre processing and curation toolkit for LLMs
Python · 1802 stars
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Gym
Evaluate and improve models and agents using environments
Python · 1228 stars
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labs-molt
A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).
Python · 1172 stars
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Skills
A project to improve skills of large language models
Python · 1047 stars
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Automodel
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
Python · 995 stars
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Megatron-Bridge
Training library for Megatron-based models with bidirectional Hugging Face conversion capability
Python · 948 stars
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ProRL-Agent-Server
Agentic RL on Any Harness at Scale
Python · 853 stars
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Evaluator
Open-source library for scalable, reproducible evaluation of AI models and benchmarks.
Python · 348 stars
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Python · 281 stars
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Run
A tool to configure, launch and manage your machine learning experiments.
Python · 261 stars
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Anonymizer
🕵️ NeMo Anonymizer: Detect and protect PII through context-aware replacement and rewriting
Python · 123 stars
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nemo-helix
Make the agents you ship faster, more accurate, and safer.
Python · 89 stars
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Export-Deploy
A library for exporting models including NeMo and Hugging Face to optimized inference backends, and deploying them for efficient querying
Python · 43 stars
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bug community-request
Difficulty 3/5 1-2 days Newbie friendliness 28/100
NVIDIA-NeMo/RL#4632 ·
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community-request
Difficulty 3/5 1-2 days Newbie friendliness 45/100
NVIDIA-NeMo/Automodel#4229 ·
Maintainers usually reply within 1 day
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area:perf feature needs-triage performance
Difficulty 5/5 Over a week Newbie friendliness 35/100
NVIDIA-NeMo/Megatron-Bridge#6361 ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA-NeMo/Gym#4266 ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
NVIDIA-NeMo/Gym#4265 ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
NVIDIA-NeMo/Gym#4261 ·
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area:perf performance
Difficulty 4/5 3-5 days Newbie friendliness 42/100
NVIDIA-NeMo/Megatron-Bridge#6357 ·
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area:perf performance
Difficulty 4/5 3-5 days Newbie friendliness 43/100
NVIDIA-NeMo/Megatron-Bridge#6353 ·
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area:perf performance
Difficulty 4/5 3-5 days Newbie friendliness 42/100
NVIDIA-NeMo/Megatron-Bridge#6352 ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
NVIDIA-NeMo/Gym#4255 ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA-NeMo/Gym#4252 ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA-NeMo/Gym#4250 ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA-NeMo/Gym#4248 ·
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Difficulty 5/5 Over a week Newbie friendliness 35/100
NVIDIA-NeMo/Gym#4247 ·
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Difficulty 4/5 3-5 days Newbie friendliness 63/100
NVIDIA-NeMo/DataDesigner#1001 ·
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bug Low Precision super-v3 t-mcore testing vllm
Difficulty 4/5 3-5 days Newbie friendliness 55/100
NVIDIA-NeMo/RL#4585 ·
Maintainers usually reply within 2 days
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Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA-NeMo/Gym#4212 ·
Maintainers usually reply within 1 day
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Difficulty 5/5 Over a week Newbie friendliness 20/100
NVIDIA-NeMo/Gym#4204 ·
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Memory
Difficulty 4/5 3-5 days Newbie friendliness 53/100
NVIDIA-NeMo/RL#4578 ·
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qa_bug
Difficulty 4/5 3-5 days Newbie friendliness 25/100
NVIDIA-NeMo/Gym#4181 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 35/100
NVIDIA-NeMo/nemo-helix#2685 ·
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Difficulty 4/5 3-5 days Newbie friendliness 53/100
NVIDIA-NeMo/DataDesigner#996 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 78/100
NVIDIA-NeMo/DataDesigner#995 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 36/100
NVIDIA-NeMo/DataDesigner#994 ·
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Sharded NeMo Gym spinup timeout is fixed at 1800s and can expire before external_service_readinessOpenbug
Difficulty 3/5 1-2 days Newbie friendliness 58/100
NVIDIA-NeMo/RL#4565 ·
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community-request waiting-on-maintainers
Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA-NeMo/Gym#4160 ·
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Feature
Difficulty 5/5 Over a week Newbie friendliness 35/100
NVIDIA-NeMo/RL#4558 ·
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area:config
Difficulty 4/5 3-5 days Newbie friendliness 48/100
NVIDIA-NeMo/Gym#4158 ·
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bug
Difficulty 3/5 1-2 days Newbie friendliness 72/100
NVIDIA-NeMo/DataDesigner#990 ·
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 35/100
NVIDIA-NeMo/Nemotron#367 ·
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Difficulty 1/5 Under an hour Newbie friendliness 10/100
NVIDIA-NeMo/Gym#4091 ·
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community-request waiting-on-maintainers
Difficulty 4/5 3-5 days Newbie friendliness 57/100
NVIDIA-NeMo/Gym#4044 ·
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accuracy bug community-request waiting-on-maintainers
Difficulty 4/5 3-5 days Newbie friendliness 22/100
NVIDIA-NeMo/RL#4471 ·
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accuracy bug community-request waiting-on-maintainers
Difficulty 2/5 1-3 hours Newbie friendliness 35/100
NVIDIA-NeMo/RL#4470 ·
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community-request waiting-on-maintainers
Difficulty 5/5 Over a week Newbie friendliness 18/100
NVIDIA-NeMo/Gym#3987 ·
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Memory
Difficulty 4/5 3-5 days Newbie friendliness 35/100
NVIDIA-NeMo/RL#4427 ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA-NeMo/Gym#3959 ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
NVIDIA-NeMo/Gym#3957 ·
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enhancement
Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA-NeMo/Automodel#4122 · 1 comment ·
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Difficulty 5/5 Over a week Newbie friendliness 30/100
NVIDIA-NeMo/Gym#3942 ·
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bug status: needs triage
Difficulty 2/5 1-3 hours Newbie friendliness 45/100
NVIDIA-NeMo/Guardrails#2429 · 1 comment ·
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Difficulty 4/5 3-5 days Newbie friendliness 48/100
NVIDIA-NeMo/Gym#3934 ·
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Difficulty 4/5 3-5 days Newbie friendliness 55/100
NVIDIA-NeMo/Guardrails#2426 ·
Maintainers usually reply within 2 days
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Difficulty 2/5 1-3 hours Newbie friendliness 45/100
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Feature
Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA-NeMo/RL#4400 ·
Maintainers usually reply within 2 days
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Difficulty 4/5 3-5 days Newbie friendliness 52/100
NVIDIA-NeMo/labs-OO-Agents#408 ·
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area:model blocked feature
Difficulty 5/5 Over a week Newbie friendliness 35/100
NVIDIA-NeMo/Megatron-Bridge#6276 · 1 comment ·
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feat(evals): add an offline TypeSafe/Jev routing replay harnessMay be free again A pull request for this issue was closed without being merged. Open
Difficulty 5/5 Over a week Newbie friendliness 38/100
NVIDIA-NeMo/Switchyard#882 ·
Maintainers usually reply within 1 day
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[bug] `distributed.defer_fsdp_grad_sync: false` has no effect for MoE models under pipeline parallelism (r0.6.0 / NGC 26.08)Possibly taken @HuiyingLi claimed this 1 day ago. Opencommunity-request
NVIDIA-NeMo/Automodel#4228 · 1 assignee ·
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docs: required_columns description is incomplete for LLM and multimodal columnsPossibly taken @nightcityblade claimed this 1 day ago. Openbug
Difficulty 2/5 1-3 hours Newbie friendliness 65/100
NVIDIA-NeMo/DataDesigner#1002 · 2 comments ·
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