Condutional gan for generating images from sketch

The code loads dog and cat images, extracts HOG descriptors, labels them, splits the data into training and test sets, trains an SVM model, and predicts a test image.

Using WGAN-gp and creating art portraits.

Image Feature Matching with Julia using freak descriptor

detect football player, ball, goalkeeper, refree with custom trained yolo wieghts

This code loads network data, preprocesses it, reduces dimensions with an autoencoder, and trains multiple classifiers (KNN, RF, LR, SVM) for anomaly detection.

This code sets up and trains a GAN to generate artwork images using Keras and TensorFlow, defining and compiling discriminator and generator networks, and saving results.

Financial data analysis: preprocess, visualize, calculate technical indicators.

Python autoencoder to remove blur from images

Tokenizer for nlp training with julia language

Python code to implement nmf with sklearn

Python code: Uses LDA for topic modeling on text data.

Config files for my GitHub profile.

The code downloads Microsoft stock data, preprocesses it, builds and trains a deep learning model, and visualizes predictions.

Heart attack data analysis with python

This code implements a DCGAN to generate realistic images of handwritten digits from the MNIST dataset, training the generator and discriminator alternatively for a set number of epochs.

"Generative Adversarial Network (GAN) for digit '0' generation from MNIST."

Train auto-encoder model to colorize grayscale images.

Colorizes grayscale images using a loaded model and displays original and predicted colorized versions.

Asynchronous web scraper for downloading painting images.

Python script for training a Simple RNN model on cryptocurrency price data to predict future prices, including data exploration and evaluation