PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
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Feb 8, 2026 - Python
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cuda-graph
Here are 8 public repositories matching this topic...
Foundry materializes CUDA graphs along with its execution context to disk to support fast cold start of serving engines.
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Apr 9, 2026 - C++
A comprehensive guide to using CUDA Graphs effectively with PyTorch, covering CUDA fundamentals, PyTorch integration, Megatron-LM implementations, and practical troubleshooting.
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Jan 26, 2026 - Shell
This repository contains the source code for Grape.
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Sep 15, 2023 - Python
Enhancing CUDA Intra-Streaming-Multiprocessor Parallelism for Large Language Models via Fine-Grained Task Graph
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Jul 6, 2025 - Jupyter Notebook
A minimalist, production-ready framework for training small language models through 4 sequential stages (Pretraining, SFT, Alignment, Reasoning). Optimized for extreme performance with a hardware-aware inference engine featuring CUDA Graphs, Static KV Caching, and Topic-Aware Conversational Memory.
pytorch transformer alignment reasoning synthetic-data dpo huggingface kv-cache llm-training cuda-graph
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Apr 14, 2026 - Jupyter Notebook
Enable large-scale transformer model training with GPU-optimized tools and parallelism strategies for research and custom workflows.
machine-learning deep-learning distributed-computing transformers pytorch gke research-paper mixture-of-experts deepspeed nvidia-nemo annotated-paper tokenizers large-language-models llm-training llm-framework cuda-graph
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Apr 22, 2026 - Python
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