This is the backups of my coursework during graduate education in ecust. All work are completed using languages in c++, matlab or python.

Introdution

1. ai_challenge(scene classification competition)
   written in Python3.5(pytorch)
   using densenet161, nasnet, resnet152, vgg19, inceptionv4
   acc 94%

2. Audio_Fingerprinting
   written with Python2.7（Pydub，Numpy，Scipy，Pyqt5，Matplotlib），ffmpeg-3.2.4，Mysql-5.5.52
   Features：Audio recognition（听歌识曲）

3. audio_processing
   written in Matlab and python2.7
   Features：signal processing(FFT, echo_watermark)

4. cucumber_GLCMfeature_extraction

5. deep_learning_exercise
   written in Matlab
   Features：UFLDL exercise

6. Fatigue_Recongnition
   written in Python3.5(tensorflow)
   Features：MTCNN for face detection

7. Fisheye_Correct
   written in Python2.7
   Features：coordinate conversion

8. Handwriting_Recognition
   written in Matlab and Python2.7
   Features：using bp, cnn, softmax, knn, libsvm, pnn, grnn, rbf algorithm

9. image_processing
   written in Matlab and Python2.7
   Features：snake_segment, energy_func(for denoise), patchwork

10. pattern_recognition
    written in Matlab and Python2.7
    Features：AdaBoost, PCA, ISODATA, K-means, NaiveBayes, Perception, LSTM

11. Reinforcement Learning
    written in Matlab and Python2.7
    Features：MDP demon refer to CS229