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Denys Smerchanskyi's Projects

adbench icon adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2023.

adv-alstm icon adv-alstm

Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019

alstm icon alstm

Adaptive LSTM from Breaking the Activation Function Bottleneck Through Adaptive Parameterization (https://arxiv.org/abs/1805.08574)

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

arfima icon arfima

Python implementation of ARFIMA process with an aim to simulate series.

asset_comparison_toolbox_i icon asset_comparison_toolbox_i

Toolbox I for asset comparison. Visualization - Volatility - Scatter Matrix - Correlation Coefficient - Regression Analysis I

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-ssl4ts icon awesome-ssl4ts

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

awesome-tda icon awesome-tda

A curated list of topological data analysis (TDA) resources and links.

awesome_catboost icon awesome_catboost

The repository to showcase the best framework for tabular data - the Awesome CatBoost

blackbox-trading-cnn icon blackbox-trading-cnn

Time Series Classification with Convolutional Neural Network: Automated Trading by Pattern Recognition (Master's Thesis)

bocd icon bocd

Python implementation of Bayesian online changepoint detection

book icon book

Course Reader based on Jupyter-Book

caerus icon caerus

Detection of favorable moments in time series data

ceemdan-lstm icon ceemdan-lstm

Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM

cfds icon cfds

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

cfds-notebooks icon cfds-notebooks

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

cftc-cot icon cftc-cot

Parses historical and current CFTC Commitments of Traders reports into easy-to-use pandas dataframes

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