Some examples demonstrating how to optimize caffe/tensorflow/darknet models with TensorRT and run real-time inferencing with the optimized TensorRT engines

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Tensorflow implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding" (AAAI 2018)

BiSeNet based on pytorch

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

TensorRT is a C++ library that facilitates high performance inference on NVIDIA GPUs and deep learning accelerators.

Web labeling tool for camera and LIDAR data

sketch + style = paints 🎨

pytorch to caffe by onnx

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)