teshaw

teshaw's Stars

• 3dv-casia/PanoVLM

  PanoVLM: Low-Cost and Accurate Panoramic Vision and LiDAR Fused Mapping

  Language:C++13211

• TrashboxBobylev/Experienced-Pixel-Dungeon-Redone

  Language:Java6416

• pyzo/pyzo

  Python to the people

  Language:Python29574

• steve-kasica/wordle-words

  A dataset of Wordle words and supplemental metadata

  Language:Jupyter Notebook113

• GeoscienceAustralia/GeodePy

  A toolkit for Geodesy and Surveying in Python

  Language:Python9349

• taesungp/contrastive-unpaired-translation

  Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

  Language:Python2.2k417

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23.2k6.3k

• silver-hzh/Averial-visible-to-infrared-image-translation

  252

• phillipi/pix2pix

  Image-to-image translation with conditional adversarial nets

  Language:Lua10.2k1.7k

• ksws0499733/RTGAN

  Language:Python2

• teshaw/PolygonObjectDetection

  This repository is based on Ultralytics/yolov5, with adjustments to enable polygon prediction boxes.

  1

• by256/bpartis

  Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification (JCIM 2021).

  Language:Python206

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python51.1k16.4k

• DigitalGrainSize/pyDGS

  Wavelet-based digital grain size analysis

  Language:Python5016

• DigitalGrainSize/SediNet

  Deep learning framework for optical granulometry (estimation of sedimentological variables from sediment imagery)

  Language:Python7415

• xmba15/rail_marking

  proof-of-concept program that detects rail-track with semantic segmentation for autonomous train system

  Language:Python7317

• valhalla/valhalla

  Open Source Routing Engine for OpenStreetMap

  Language:C++4.6k688

• cyang-kth/fmm

  Fast map matching, an open source framework in C++

  Language:C++904215

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.8k4.2k

• ipython/ipyparallel

  IPython Parallel: Interactive Parallel Computing in Python

  Language:Jupyter Notebook2.6k1k

• jaxony/unet-pytorch

  U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

  Language:Python27266

• calref/cboe

  Classic Blades of Exile

  Language:C++17542

• jonguo111/Rail_components_image_data

  81

• wkentaro/labelme

  Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

  Language:Python13.6k3.4k

• weiliu89/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++4.8k1.7k

• beoutbreakprepared/nCoV2019

  Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China

  Language:HTML657257

• jaeoh2/pyNCOMdecoder

  An NCOM decoder based in python for use with OxTS navigation systems, to decode their output.

  Language:Python22

• NSGeophysics/GPRPy

  Ground Penetrating Radar processing and visualization software for python

  Language:Python19589

• jiankaiwang/TF_ObjectDetection_Flow

  The tutorial is the workflow from labeling objects, building a object detection model in tensorflow, training it locally, and then using it on python.

  Language:Jupyter Notebook95

• Zabamund/misc

  portable python miscellany

  Language:Jupyter Notebook71