Code and hyperparameters for the paper "Generative Adversarial Networks"
Open-source simulator for autonomous driving research.
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
A torch implementation of http://arxiv.org/abs/1511.06434
Enumerate diverse machine learning training tricks.
A plugin for GTAV that transforms it into a vision-based self-driving car research environment.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FPConv: Learning Local Flattening for Point Convolution, CVPR 2020
Matching People across Camera Views using Kernel Canonical Correlation Analysis
Graph Convolutional Networks in PyTorch
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)
Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)
Open deep learning compiler stack for cpu, gpu and specialized accelerators