NVIDIA-NeMo/Gym
Evaluate and improve models and agents using environments
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Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
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Latest capture 2026-07-16 03:03
5 captures since 2026-05-25
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:03
pyproject.toml
python ecosystem,
70 dependencies
uv.lock
python ecosystem,
0 dependencies
tools/budget/pyproject.toml
python ecosystem,
1 dependency
use-case-examples/Build_a_Bash_Agent_with_Synthetic_Data/pyproject.toml
python ecosystem,
11 dependencies
use-case-examples/Intelligent Document Processing with Nemotron RAG/pyproject.toml
python ecosystem,
19 dependencies
use-case-examples/nemotron-voice-rag-agent-example/pyproject.toml
python ecosystem,
22 dependencies
use-case-examples/Simple Nemotron-3-Nano Usage Example/pyproject.toml
python ecosystem,
8 dependencies
use-case-examples/Build_a_Bash_Agent_with_Synthetic_Data/uv.lock
python ecosystem,
0 dependencies
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Evaluate and improve models and agents using environments
Fully open data curation for reasoning models
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷