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- synthda Public
SynthDa is a framework designed to make synthetic data generation for human actions more usable and accessible. This is a pose-level augmentation framework that generates synthetic training videos by interpolating real and AI-generated poses. It increases minority-class coverage, helping to mitigate data scarcity for rare actions.
NVIDIA/synthda’s past year of commit activity - cuda-quantum Public
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
NVIDIA/cuda-quantum’s past year of commit activity - TensorRT-LLM Public
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support 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 performant way.
NVIDIA/TensorRT-LLM’s past year of commit activity - bionemo-framework Public
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
NVIDIA/bionemo-framework’s past year of commit activity - nv-ingest Public
NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retrieval systems.
NVIDIA/nv-ingest’s past year of commit activity
