Various methods for generating synthetic data for data science and ML
☆84Aug 15, 2021Updated 5 years ago
Alternatives and similar repositories for Synthetic-data-gen
Users that are interested in Synthetic-data-gen are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Data science and ML with Dask☆15Jul 31, 2021Updated 5 years ago
- Building simple ML apps with Streamlit☆24Apr 17, 2021Updated 5 years ago
- Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset☆11Dec 13, 2018Updated 7 years ago
- An open source time series library for Python using Matrix Profile☆12Jun 29, 2017Updated 9 years ago
- transformer for time series☆12Jun 13, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- 2020厦门国际银行数创金融杯建模大赛-优胜奖方案☆11Feb 2, 2021Updated 5 years ago
- Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features☆34Aug 12, 2019Updated 7 years ago
- All of my Deep Learning experiments have been summarized in this repository.It includes Pytorch tutorials, SoTA Neural Network classifica…☆10Oct 26, 2020Updated 5 years ago
- Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame dat…☆15Aug 31, 2023Updated 3 years ago
- ☆21Nov 21, 2023Updated 2 years ago
- Implemented the CFR+ and PureCFR algorithms in Python to find the optimal strategies to 2-player extensive-form games, which was also use…☆21May 24, 2019Updated 7 years ago
- 第三届“融360”天机智能算法挑战赛中“拒绝推断”赛题--复赛第四名的代码分享☆11Feb 22, 2020Updated 6 years ago
- ☆13Aug 8, 2021Updated 5 years ago
- CDM Builder leveraging AWS Lambda☆21Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Tirthajyoti's Home Page about machine learning, statistics, analytics☆24May 2, 2022Updated 4 years ago
- Source code for http://allaboutscala.com/scala-cheatsheet/☆10Jun 12, 2018Updated 8 years ago
- CCKS 2022 通用信息抽取☆13May 1, 2022Updated 4 years ago
- Learning from Graphs: From Mathematical Principles to Practical Tools☆11Apr 16, 2021Updated 5 years ago
- ☆11Dec 20, 2023Updated 2 years ago
- A tool for managers/teachers to gauge student activity/engagement/mood based on Slack data☆16Aug 25, 2021Updated 5 years ago
- materials for my workshop "Latest Deep Learning Models for NLP" @ the European Open Data Science Conference 2019☆11Feb 3, 2020Updated 6 years ago
- ☆15Dec 7, 2021Updated 4 years ago
- Bayesian Regression Models using pymc3☆11Feb 4, 2017Updated 9 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Tokyo Metropolitan University Paraphrase Corpus (TMUP)☆11Jun 12, 2017Updated 9 years ago
- Python package to visualize and cluster partial dependence.☆29Apr 9, 2022Updated 4 years ago
- Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"☆10Aug 30, 2019Updated 7 years ago
- A hands-on tutorial showing how to use Python to do anonymisation with synthetic data☆81Apr 14, 2022Updated 4 years ago
- How to Ingesting Your Own Zipline Data Bundle☆24Nov 2, 2020Updated 5 years ago
- Implementation of Artificial Intelligence models without using any blackbox or libraries 😎☆10Nov 22, 2018Updated 7 years ago
- Python Darts deep forecasting models☆33May 15, 2022Updated 4 years ago
- simple example implementation of AWS Lambda RequestHandler interface☆11Dec 21, 2016Updated 9 years ago
- A set of utilities to quicky analyze time series.☆21Oct 28, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018☆14Feb 23, 2018Updated 8 years ago
- Minimal Learning Machine implementation using the scikit-learn API.☆10Feb 11, 2023Updated 3 years ago
- Capstone Research Project in NYU Courant☆12Jan 3, 2020Updated 6 years ago
- This sample code demonstrates how to build an Amazon SageMaker environment for HPO using Optuna (an open source hyperparameter tuning fra…☆11May 21, 2024Updated 2 years ago
- Stock analysis and prediction - fundamental, quantitative, technical analysis and machine learning.☆13May 1, 2023Updated 3 years ago
- A PyTorch implement of Dilated RNN☆11Dec 31, 2017Updated 8 years ago
- Generalized linear regression models with network-regularization in R.☆15Jul 9, 2024Updated 2 years ago