A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface
A high-performance inference system for large language models, designed for production environments
Open source, local, and self-hosted highly optimized language inference server supporting ASR/STT, TTS, and LLM across WebRTC, REST, and WS
Verify that the post-processing merged into FaceMesh works correctly
Special Presentation Demo at Intel IoT Planet 2021 DeepLearning Day / インテル IoT プラネット 2021 DeepLearning Dayの特別講演の発表資料 https://www
Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
GPU-accelerated data science and visualization in node
A PyTorch Library for Accelerating 3D Deep Learning Research
SDK for GPU accelerated genome assembly and analysis
Dockerfiles and manual for easy build of docker image with CUDA10
TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow
Classes enabling finmath-lib to run its Monte-Carlo models on Cuda GPUs
ThunderGBM: Fast GBDTs and Random Forests on GPUs