#自然语言处理#Data augmentation for NLP
#计算机科学#DeltaPy - Tabular Data Augmentation (by @firmai)
#计算机科学#Efficient Learning of Augmentation Policy Schedules
various cv tools, such as label tools, data augmentation, label conversion, etc.
Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
Cut and paste augmentation for object detection and instance segmentation
TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".
Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".
#计算机科学#SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualizati...
ODA is a test-time-augmentation(TTA) tool for 2D object detectors. For use in Kaggle competitions.
#自然语言处理#This repo contains my work & The code base for this TensorFlow Developer specialization offered by deeplearning.AI
#自然语言处理#Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.
Unofficial Pytorch implementation of the paper 'Learning Data Augmentation Strategies for Object Detection'
Transformer based YOLO v5 model for food image localization for 36 distinct food classes and giving better results than the YOLO v7 model
Unscented Kalman filtering in Python and C++ for tracking and localization applications
#计算机科学#Cross-library augmentation toolbox supporting 300 operators over 8 libraries + AI transforms
#自然语言处理#Generating High Quality multiple type multi-turn Text-to-SQL Q&A training sample with LLM (include Supplementary_Material.pdf)
For the Kaggle Competition on object detection with same name. 1) models used are DETR, EfficientDet, YOLOv5, RetinaNet, FasterRCNN. 2) Ensemble inference using Weighted Box Fusion 3) Pseudo Learning ...
ConvNet (CNN) implementation to classify x-ray medical images