NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
- tensorrt
- nvidia
- deep-learning
- inference
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NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
Experimental DLSS Multi Frame Generation controls for any supported MFG title on RTX 40 series GPUs
ThunderSVM: A Fast SVM Library on GPUs and CPUs
AMDNR Neural Rendering on AMD GPUs, built into OptiScaler: model interleave, residual composition, XeSS frame generation up to 6X, FSR Ray Regeneration. Discord: https://discord.gg/AMDNR · Ko-fi: https://ko-fi.com/3zinr DLSS ON AMD
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort.