Yağız Söylegüzel's repositories
Food_Vision
Food Vision application with tensorflow. The model has 101 different kind of food class and when we upload our own photos and put it to this model it will classify what is the food in that picture. It can be evaluated more in the future.
Disaster-Tweets-NLP-Project
Experiments: 1- Naive Bayer with TF-IDF Encoder 2- Feed-Forward Neural Network (Dense Model) 3- LSTM (RNN) 4- GRU (RNN) 5- Bidirectional-LSTM (RNN) 8- 1D Convolutional Neural Network 9- Pretrained Feature Extractor 10-Pretrained Feature Extractor (10% of data)
CV_Pose_Estimation
Pose Estimation Cv
DataScience
Tensorflow, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn. Document is created by myself. Documents have a lot of examples with screenshots.
SP_SpeechAnalysis
Speech Analysis
NN_NeuralNetwork
Train Wihtout using Tensorflow or Pytorch
Cv_FaceMesh
Cv_FaceMesh
Cv_FaceDetection
Cv_FaceDetection
Cv_HandTracker_VolumeControl
Cv_HandTracker_VolumeControl
Cv_HandTracker_FingerCounter
Cv_HandTracker_FingerCounter
School_DB
School Database