MedChaabane/DeepBind-with-PyTorch

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Updated almost 6 years ago

MedChaabane/DeepBind-with-PyTorch

MedChaabane

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CNN architecture for predicting DNA binding sites for Transcription Factors

DEFT

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

deepRAM

End-to-end deep learning toolkit for predicting protein binding sites and motifs.

Autonomous-flight-of-the-drone-AR.Drone-using-OpenCV

Autonomous drone using detected ball to command the direction of the drone

Static_Objects_Geolocalization

3D detection, tracking, and localization of spatially-compact static objects (such as signs and traffic lights) from a single camera of a self-driving car.

Mining-Twitter-Data-with-Python

sentiment analysis for streaming data

A-framework-for-CPR-scene-retrieval-from-medical-simulation-videos-based-on-activity-detection

Internship in Computer Vision Lab at University of Louisville

DNA-binding-sites-prediction-using-Embedding-Convnet-BLSTM

word2vec embedding+ CNN + BLSTM architecture for predicting DNA binding sites for Transcription Factors

Jupyter Notebook