ranftlr

ranftlr's Stars

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python34.2k1785k2.6k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.4k3139314.8k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.5k3986409.6k

• microsoft/nni

  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  Language:Python14.1k2842.1k1.8k

• isl-org/MiDaS

  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"

  Language:Python4.5k73242634

• jettify/pytorch-optimizer

  torch-optimizer -- collection of optimizers for Pytorch

  Language:Python3k3364299

• torch-points3d/torch-points3d

  Pytorch framework for doing deep learning on point clouds.

  Language:Python2.5k54365392

• isl-org/DPT

  Dense Prediction Transformers

  Language:Python2k4382260

• uzh-rpg/flightmare

  An Open Flexible Quadrotor Simulator

  Language:C++1k34168346

• isl-org/lang-seg

  Language-Driven Semantic Segmentation

  Language:Jupyter Notebook721175090

• cleinc/bts

  From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

  Language:Python63620137179

• uzh-rpg/agile_autonomy

  Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

  Language:C++6081693164

• mileyan/Pseudo_Lidar_V2

  (ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

  Language:Python6043932127

• aleximmer/Laplace

  Laplace approximations for Deep Learning.

  Language:Python4721015173

• uzh-rpg/high_mpc

  Policy Search for Model Predictive Control with Application to Agile Drone Flight

  Language:C429245100

• MCG-NKU/CVPR_Template

  Language:TeX36761758

• niessner/Opt

  Opt DSL

  Language:Terra2562815168

• KexianHust/Structure-Guided-Ranking-Loss

  Structure-Guided Ranking Loss for Single Image Depth Prediction

  Language:Python186172118

• fabiotosi92/SMD-Nets

  SMD-Nets: Stereo Mixture Density Networks

  Language:Python156171727

• fsschneider/DeepOBS

  DeepOBS: A Deep Learning Optimizer Benchmark Suite

  Language:Python10351534

• lasinger/3DVideos2Stereo

  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"

  Language:Python807415

• twitter/dict_minimize

  Access scipy optimizers from your favorite deep learning framework.

  Language:Python787223

• brownvc/diffdiffdepth

  Official repository for CVPR 2021 paper "Differentiable Diffusion for Dense Depth Estimation from Multi-view Images"

  Language:Python65746

• isl-org/dcflow

  Code for the paper "Accurate Optical Flow via Direct Cost Volume Processing. Jia Xu, René Ranftl, and Vladlen Koltun. CVPR 2017"

  Language:C++5211418

• maartjeth/sacred-example-pytorch

  Some example code that shows you how to use Sacred in a full Pytorch project.

  Language:Python27305