Welcome to the Machine Learning and Deep Learning repository! This repository contains various machine learning and deep learning implementations, including projects developed from scratch in Python and others utilizing PyTorch.
- Automatic Differentiation using Dual Numbers
- Decision Tree
- Logistic Model
- Linear Model
- Multilayer Perceptron (MLP)
- Mixture of Gaussians
- Adaboost
- Backward Selection
- Data Cleaning
- Restricted Boltzmann Machine (RBM)
- Convolutional Neural Network (CNN)
- Multilayer Perceptron (MLP)
- Logistic Regression
- LSTM for Forecasting in BTC Price
- Variational Autoencoder
- Recurrent Neural Network for Financial Forecasting
We are continuously updating and adding more projects and implementations to this repository. Stay tuned for upcoming updates!
Feel free to explore the projects, experiment with the code, and provide any feedback. If you have questions, suggestions, or encounter issues, don't hesitate to open an issue.
Happy learning and coding!