MedChaabane/DeepBind-with-PyTorch MedChaabane/DeepBind-with-PyTorch

  • Stars
    star
    46
  • Rank 611,830 (Top 13 %)
  • Language
    Jupyter Notebook
  • Created almost 6 years ago
  • Updated over 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
MedChaabane/DeepBind-with-PyTorch
github

MedChaabane

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

CNN architecture for predicting DNA binding sites for Transcription Factors

More Repositories

1

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.
Python
265
star
2

deepRAM

End-to-end deep learning toolkit for predicting protein binding sites and motifs.
Python
44
star
3

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

Autonomous drone using detected ball to command the direction of the drone
Python
25
star
4

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.
Python
7
star
5

Mining-Twitter-Data-with-Python

sentiment analysis for streaming data
Python
5
star
6

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

Internship in Computer Vision Lab at University of Louisville
2
star
7

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

word2vec embedding+ CNN + BLSTM architecture for predicting DNA binding sites for Transcription Factors
Jupyter Notebook
1
star