machine-learning-for-trading VS ydata-synthetic

Compare machine-learning-for-trading vs ydata-synthetic and see what are their differences.

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machine-learning-for-trading ydata-synthetic
224 60
11,797 1,286
- 4.1%
1.1 7.6
10 months ago 15 days ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

machine-learning-for-trading

Posts with mentions or reviews of machine-learning-for-trading. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

ydata-synthetic

Posts with mentions or reviews of ydata-synthetic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-05.

What are some alternatives?

When comparing machine-learning-for-trading and ydata-synthetic you can also consider the following projects:

SDV - Synthetic data generation for tabular data

REaLTabFormer - A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/

Copulas - A library to model multivariate data using copulas.

zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.

Conditional-Sig-Wasserstein-GANs

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

pytorch-forecasting - Time series forecasting with PyTorch

TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.

gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.