machine-learning-for-trading VS SDV

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

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition. (by stefan-jansen)
Machine Learning Trading Investment Finance Data Science investment-strategies Artificial intelligence trading-strategies Deep Learning synthetic-data ml4t-workflow trading-agent
Source Code
ml4trading.io
Suggest alternative
Edit details

SDV

Synthetic data generation for tabular data (by sdv-dev)
synthetic-data Machine Learning relational-datasets multi-table time-series synthetic-data-generation sdv data-generation generative-adversarial-network Gan Gans Deep Learning generative-ai generative-model generativeai
Source Code
docs.sdv.dev
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
machine-learning-for-trading SDV
224 59
11,797 2,117
- 14.0%
1.1 9.3
10 months ago 7 days ago
Jupyter Notebook Python
- GNU General Public License v3.0 or later
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.

SDV

Posts with mentions or reviews of SDV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-27.

What are some alternatives?

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

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

CTGAN - Conditional GAN for generating synthetic tabular data.

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

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

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

tsfresh - Automatic extraction of relevant features from time series:

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

Copulas - A library to model multivariate data using copulas.

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

TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python

fraud-detection-handbook - Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

machine-learning-for-trading vs Mad-Money-Backtesting SDV vs CTGAN machine-learning-for-trading vs documentation SDV vs gretel-python-client machine-learning-for-trading vs zero-to-mastery-ml SDV vs tsfresh machine-learning-for-trading vs cryptocurrency-price-prediction SDV vs Copulas machine-learning-for-trading vs TTM SDV vs TimeSynth machine-learning-for-trading vs fraud-detection-handbook SDV vs EigenGAN-Tensorflow