choodly's repositories
Cell-DETR
Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].
centernet-inst
A little experiment combining Centernet and SOLOv2.
darts
A python library for easy manipulation and forecasting of time series.
Detectron2-Train-a-Instance-Segmentation-Model
Learn how to train a custom instance segmentation model with Detectron2
FineEdu-Dataset
A Fine-grained Class Students Behavior Understanding Dataset with Jointly Action and Attention Annotations
imagefusion-nestfuse
NestFuse (IEEE TIM 2020)- Pytorch >= 0.4.1
learner-performance-prediction
Simple and performant implementations of learner performance prediction algorithms.
MsnhnetSharp
C# wrapper for msnhnet.
PaddlePaddle_yolact
yolact完美复刻版（paddle实现），飞桨论文复现挑战赛参赛作品
panoptic-deeplab
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
pig-instance-segmentation
This is the implementation code of our paper named Dual Attention-guided Feature Pyramid Network for Instance Segmentation of Group Pigs (Under Reviewer)
pykt-toolkit
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
RGB-Thermal-Tracking-Paper-List
Paper collection of rgb-infrared tracking algorithms.
rpi-urban-mobility-tracker
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
RTFNet
RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes
SE4050-Improving-Student-Academic-Performance-Prediction-and-Intervention
This is a Project for final year Deep learning module. This project aims to address this critical issue by developing a machine learning model for predicting student academic performance and providing personalized recommendations for interventions.
tinyml-papers-and-projects
This is a list of interesting papers and projects about TinyML.
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
transfuser
[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Vehicle-Detection-and-Tracking-using-YOLOv3-and-Deep-Sort
I have used YOLOv3 Algorithm for Vehicle Detection and Deep Sort Algorithm for Vehicle Tracking. After tracking the vehicles I have tried counting the number of vehicles in each lane. This will help us in real life implementations like Toll Booths(To cross check the collection) and Traffic Lanes Rules Monitoring(To check if heavy vehicles are following the proper lanes or not).
YOLO-Multi-Backbones-Attention
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.