piantic's repositories
ODA-Object-Detection-ttA
ODA is a test-time-augmentation(TTA) tool for 2D object detectors. For use in Kaggle competitions.
Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
RSNA-Pulmonary-Embolism-Detection
kaggle - RSNA STR Pulmonary Embolism Detection
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
instance_level_recognition
The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition
Birdcall-Identification-competition
2nd place in the Cornell Birdcall Identification competition
BBAVectors-Oriented-Object-Detection
[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
3rd_place_to_Kaggle_Google_Landmark_Retrieval_2020
This is the source code of the 3rd place to [Kaggle Google Landmark Retrieval 2020]
osic-pulmonary-fibrosis-progression
1st place solution of OSIC Pulmonary Fibrosis Progression competition at Kaggle
kaggle_birdcall_identification
Code for the Cornell Birdcall Identification competition
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS
kaggle-birdsong-recognition
1st Place solution to the Cornell Birdcall Identification competition.
colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
hands-on-time-series-analylsis-python
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
TransferDet
This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)
BirdCall
from https://www.kaggle.com/c/birdsong-recognition/overview
kaggle-melanoma
2nd place solution for SIIM-OSIC Melanoma Classification
l5kit
L5Kit - level5.lyft.com
SIIM-ISIC-Melanoma-2020
A PyTorch code for the classification problem in SIIM-ISIC Melanoma 2020 Kaggle Competition
machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)