| RayanWang/Speech_emotion_recognition_BLSTM |
178 |
|
0 |
0 |
about 7 years ago |
0 |
|
7 |
mit |
Python |
| Bidirectional LSTM network for speech emotion recognition. |
| savepopulation/oyster |
91 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
mit |
Kotlin |
| A lightweight credit card number formatter, validation type recognition library. |
| sterling239/audio-emotion-recognition |
36 |
|
0 |
0 |
almost 10 years ago |
0 |
|
2 |
|
Python |
| kwilczynski/ruby-magic |
27 |
|
0 |
0 |
over 2 years ago |
12 |
March 14, 2023 |
2 |
apache-2.0 |
C |
| Simple interface to libmagic for Ruby Programming Language |
| rghorbani/iran-sheba |
14 |
|
1 |
3 |
almost 7 years ago |
6 |
July 15, 2019 |
0 |
mit |
JavaScript |
| Validate and Recognize IBAN in Iran |
| RodrigoCMoraes/facialExpressionClassification |
10 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| This project use Challenges in Representation Learning: Facial Expression Recognition Challenge dataset, aka FER2013, from Kaggle to train, validate and test the model created. |
| saha-somnath/Sports-Action-Recognition |
10 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Implemented Sports Action Recognition system using SVM classifier. First, extracted the features from each video frame from each category using Histogram of Oriented Gradients ( HOG ) method and then classified using SVM. A cross-validation mechanism has been applied to fine tune the parameters for the classifier. In this project, I have used UCF Sports Action data set that comprises of 10 sports action. |
| anenbergb/CS231_Project |
9 |
|
0 |
0 |
about 11 years ago |
0 |
|
0 |
|
Python |
| Activity Recognition in Temporally Untrimmed Videos |
| rghorbani/iran-shetab |
8 |
|
0 |
0 |
over 4 years ago |
4 |
July 15, 2019 |
1 |
mit |
JavaScript |
| datarocksAmy/MATLAB |
5 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Matlab |
| Deep Learning using Neural Network Toolbox + Finance Portfolio Selection with MorningStar |
