NVIDIA-NeMo/NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
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Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
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Latest capture 2026-07-16 03:03
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Scanned 2026-07-16 03:03
pyproject.toml
python ecosystem,
71 dependencies
uv.lock
python ecosystem,
0 dependencies
examples/kinetic_monte_carlo/requirements.txt
python ecosystem,
1 dependency
examples/multi_storage_client/requirements.txt
python ecosystem,
2 dependencies
examples/additive_manufacturing/sintering_physics/requirements.txt
python ecosystem,
11 dependencies
examples/cfd/darcy_fno/requirements.txt
python ecosystem,
3 dependencies
examples/cfd/darcy_nested_fnos/requirements.txt
python ecosystem,
1 dependency
examples/cfd/darcy_physics_informed/requirements.txt
python ecosystem,
3 dependencies
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A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Minimalistic large language model 3D-parallelism training
Ongoing research training transformer models at scale
Deep learning for Ruby, powered by LibTorch