johnnyp2587 / transfer-learningLinks
Implementation of transfer learning based with autoencoder architecture
☆17Updated 5 years ago
Alternatives and similar repositories for transfer-learning
Users that are interested in transfer-learning are comparing it to the libraries listed below
Sorting:
- Value and Momentum Using Machine Learning☆11Updated 4 years ago
- ☆10Updated 8 years ago
- Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Depend…☆20Updated last year
- Code and examples for the project on risk-constrained Kelly gambling☆27Updated 4 years ago
- Loose collection of Jupyter notebooks, mostly for my blog☆28Updated 8 months ago
- alpha-RNN☆30Updated 5 years ago
- Market Data & Derivatives Pricing Tutorial based on Jupyter notebooks☆38Updated 4 years ago
- Trellis is a Python framework for research into deep hedging☆23Updated 4 years ago
- Graphical Models in Heavy-Tailed Markets (NeurIPS 2021)☆38Updated 2 years ago
- Random Forest-based "Correlation" measures☆15Updated 3 years ago
- Deep learning in large multivariate time series using real-time feature extraction with MDFA☆12Updated 7 years ago
- Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.☆24Updated 7 years ago
- Time-Series Cross-Validation Module☆45Updated 3 years ago
- ☆13Updated 2 years ago
- Time series and Financial analysis in python☆16Updated 6 years ago
- ☆33Updated 2 years ago
- Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"☆37Updated 2 years ago
- Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization☆35Updated last year
- Algorithmic multi-greek hedges using Python☆20Updated 4 years ago
- Advancing in Financial Machine Learning☆16Updated 5 years ago
- Contains all the Jupyter Notebooks used in our research☆9Updated 6 years ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆50Updated 3 years ago
- This Jupyter Notebook illustrates investment portfolio optimization in Modern Portfolio Theory.☆10Updated 3 years ago
- DATA-AIDED PAIRS TRADING VIA LEARNED KALMAN WITH BOLLINGER BANDS☆35Updated 2 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Updated 9 months ago
- Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.☆75Updated 7 years ago
- finance☆43Updated 7 years ago
- ☆41Updated 3 years ago
- openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or…☆28Updated this week
- kdb+/q kalman beta matlab python☆11Updated 5 years ago