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Language-Driven Semantic Segmentation
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"
Official repository for CVPR 2021 paper "Differentiable Diffusion for Dense Depth Estimation from Multi-view Images"
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
torch-optimizer -- collection of optimizers for Pytorch
Policy Search for Model Predictive Control with Application to Agile Drone Flight
Access scipy optimizers from your favorite deep learning framework.
(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Structure-Guided Ranking Loss for Single Image Depth Prediction
Pytorch framework for doing deep learning on point clouds.
Some example code that shows you how to use Sacred in a full Pytorch project.
Code to extract stereo frame pairs from 3D videos, as used in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
DeepOBS: A Deep Learning Optimizer Benchmark Suite
Code for the paper "Accurate Optical Flow via Direct Cost Volume Processing. Jia Xu, René Ranftl, and Vladlen Koltun. CVPR 2017"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.