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Several simple examples for popular neural network toolkits calling custom CUDA operators.
Face swapping based on insightface, with Model = 'buffalo_l' and weights = 'inswapper_128.onnx'
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
anzisheng / TensorRT-Alpha
Forked from FeiYull/TensorRT-Alpha🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
C++, CUDA, OpenGL, Debugging via cuda-gdb, CMake
C++ library based on tensorrt integration
Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate
Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
Testing code that verifies the correctness of the formula or practice in the papers I'm reading
End-to-end stack for WebRTC. SFU media server and SDKs.
A C++ interface for the OSQP quadratic programming solver.
anzisheng / AlphaExpansion
Forked from ManifoldFR/AlphaExpansionAn implementation of alpha-expansion and graph cut