Dewan Fayzur Rahman's repositories
garbage-object-detection
A repository with the source code to train an object detection model on a small dataset of annotated trash related images. The annotated objects in this dataset are garbage containers, garbage bags and cardboard.
ai-challenge-deadlines
AI challenge deadlines with link to software baselines and evaluation results.
angiodysplasia-segmentation
Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization
awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Awesome-Mobile-Machine-Learning
A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
benchmarking-keras-pytorch
Reproducible Benchmarking of Keras and PyTorch Models
DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
detectron-self-train
A PyTorch Detectron codebase for domain adaptation of object detectors.
Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
flint
A Time Series Library for Apache Spark
ICDAR2019_cTDaR
The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.
Kaggle-Days-Meetup-Porto-2019
1st place presentation for Kaggle Days Porto 2019 Forecast challenge at https://www.kaggle.com/c/kdm-porto-2019/
knockknock
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
learnopencv
Learn OpenCV : C++ and Python Examples
naacl_transfer_learning_tutorial
Repository of code for the NAACL tutorial on Transfer Learning in NLP
PMTD
Pyramid Mask Text Detector designed by SenseTime Video Intelligence Research team.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
pytorch-template
PyTorch deep learning projects made easy.
Synchronized-BatchNorm-PyTorch
Synchronized Batch Normalization implementation in PyTorch.
vedo
A python module for scientific analysis of 3D objects based on VTK and numpy