A repository comprising the algorithms of Machine Learning implemented on tensorflow 2 with keras and many other special machine learning libraries.
Machine Learning Algorithms
├── AdversarialAttacks
│ └── vgg19_nsl2
├── Applications
│ ├── Age detection
│ ├── DeepDream
│ └── pipeline_design
├── ArtificialNeuralNetwork
│ ├── DeepNeuralNetwork
│ └── SiameseNetwork
├── ConvolutionalNeuralNetwork
│ ├── AlexNet
│ ├── DenseNet
│ ├── FasterRCNN
│ ├── GeneticCNN
│ ├── InceptionNet
│ ├── Lenet5
│ ├── MetaQNN
│ ├── MobileNet
│ ├── ResNet
│ ├── ResNext
│ ├── SENet
│ ├── StyleTransfer
│ ├── VGGNet
│ └── XceptionNet
├── ElasticWeightConsolidation
├── GaussianCDF
├── GraphNeuralNetwork
├── LinearRegression
├── LogisticRegression
├── markdown_edits
├── Miscellaneous
├── NaiveBayesClassifier
├── RecurrentNeuralNetwork
│ └── Bidirectional_RNN
└── SVM
Before trying, follow these steps:
Install the neccessary libraries and modules
- Activate your virtualenv
- Run the following command in your terminal(LINUX) or cmd(WINDOWS)
pip3 install tensorflow-gpu #if you've an nvidia-gpu with cuda support
pip3 install pandas
pip3 install numpy
pip3 install matplotlib
pip3 install sklearn
pip3 install tensorflow_probability
python3 <file_name>.py