unofang's Stars
ryouchinsa/Rectlabel-support
RectLabel is an offline image annotation tool for object detection and segmentation.
kchengiva/Shift-GCN-plus
The implementation for "Extremely Lightweight Skeleton-Based Action Recognition with ShiftGCN++." (TIP 2021).
kchengiva/Shift-GCN
The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).
mohitkumarahuja/Human-Activity-Recognition-from-Videos-Using-Machine-Learning
Nowadays, it’s a very hot topic on video-based human action detection, which has recently been demonstrated to be very useful in a wide range of applications including video surveillance, tele-monitoring of patients and senior people, medical diagnosis and training, video content analysis and search, and intelligent human computer interaction [1]. As video camera sensors become less expensive, this approach is increasingly attractive since it is low cost and can be adapted to different video scenarios.
ramybaly/Article-Bias-Prediction
marshallwhiteorg/emnlp19-media-bias
Code and data for the EMNLP 2019 paper "In Plain Sight: Media Bias Through the Lens of Factual Reporting"
ICTMCG/Awesome-Misinfo-Video-Detection
A curated list of works related to Misinformation Video Detection, as a companion material for an ACM Multimedia 2023 survey
hkchengrex/Tracking-Anything-with-DEVA
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
PaulHancock/Aegean
The Aegean source finding program and associated tools
megalut/sewpy
Source Extractor Wrapper for Python
santurini/galaxy-countr
CounTR applied on FITS Images for the task of Object Counting
kingyiusuen/handwritten-multi-digit-number-recognition
Recognize handwritten multi-digit numbers using a CRNN model trained with synthetic data.
abhishekdiphu/IBM_AI_Enterprise_Workflow
This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.
amanchadha/coursera-ai-for-medicine-specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
pycaret/pycaret
An open-source, low-code machine learning library in Python
optuna/optuna
A hyperparameter optimization framework
ntnu-ai-lab/harth-ml-experiments
Baseline Machine Learning models for the Human Activity Recognition Trondheim (HARTH) dataset
google-research/t5x
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
danielgatis/rembg
Rembg is a tool to remove images background
alzayats/DeepFish
JCU DeepFish dataset
nicolas-gervais/data-augmentation-with-gan-and-vae
We're generating faces with Pytorch GAN implementations
open-AIMS/ozfish
Public dataset of Australian fish species for advancing machine learning research
kwea123/fish_detection
Fish detection using Open Images Dataset and Tensorflow Object Detection
gmalivenko/awesome-computer-vision-models
A list of popular deep learning models related to classification, segmentation and detection problems