#python #automated #bot #coupons #exe #free #udemy #udemy_account

https://github.com/techtanic/Udemy-Course-Grabber

#javascript #automated #automated_analysis #automation #generated_metrics #github #github_action #github_api #github_metrics #github_profile #metrics #profile #profile_card #profile_readme #readme #readme_generator #readme_profile #repositories_metrics #svg_image

https://github.com/lowlighter/metrics

#typescript #core #ethereum #smart_contracts #automated_market_maker

https://github.com/Uniswap/uniswap-v3-core

#typescript #ethereum #smart_contracts #periphery #automated_market_maker

https://github.com/Uniswap/uniswap-v3-periphery

#python #simulation #autonomous_driving #connected_and_automated_vehicles #cooperative_driving_automation #automated_driving_systems

https://github.com/ucla-mobility/OpenCDA

#python #algo_trading #arbitrage #automated_trading #automated_trading_bot #centralized_exchanges #coinalpha #cryptocurrency #free_software #open_source #trading_bot #trading_platform #trading_strategies #trading_systems

https://github.com/CoinAlpha/hummingbot

#javascript #automated_tests #cypress #cypress_example #e2e_tests #examples #recipes #testing #unit_testing

https://github.com/cypress-io/cypress-example-recipes

#php #ast #automated_upgrades #instant_upgrades #rector #upgrade

https://github.com/rectorphp/rector

#java #api_testing #assertions #automated_testing #automation #bdd #consumer_driven_contracts #contract_testing #cucumber #developer_tools #gherkin #hacktoberfest #load_testing #microservices #mock_server #test_automation #testautomation #testing #testing_framework #testing_tools #webdriver

https://github.com/karatelabs/karate

#typescript #augmented_analytics #automated_data_analysis #automated_visualization #autovis #causal_discovery #causal_inference #causality #data_analysis #data_exploration #data_visualization #datamining #eda #k6s #kanaries #machine_learning #tableau #tableau_alternative #visualization

https://github.com/Kanaries/Rath

#go #automated_failover #business_continuity #database #database_management #devops #disaster_recovery #failover #high_availability #json_logging #k8s #kubectl_plugin #kubernetes #operator #postgres #postgresql #prometheus_exporter #replication #self_healing #sql #switchover

https://github.com/cloudnative-pg/cloudnative-pg

#jupyter_notebook #automated_machine_learning #automl #classification #data_science #deep_learning #finetuning #hyperparam #hyperparameter_optimization #jupyter_notebook #machine_learning #natural_language_generation #natural_language_processing #python #random_forest #regression #scikit_learn #tabular_data #timeseries_forecasting #tuning

https://github.com/microsoft/FLAML

#typescript #apis #automated #automation #cli #data_flow #development #docker #integration_framework #integrations #ipaas #low_code #low_code_development_platform #low_code_platform #n8n #no_code #node #self_hosted #typescript #workflow #workflow_automation

n8n is a powerful tool for automating workflows. It allows you to connect different services and apps using over 200 nodes, making it highly versatile. You can customize it with your own functions and logic, and it's open-source, so you can see and modify the code. n8n also offers a cloud version that simplifies setup and maintenance. The benefit to you is that it saves time by automating repetitive tasks, and its flexibility lets you integrate various tools and services easily. You can start using it quickly without installation by running a simple command in your terminal.

https://github.com/n8n-io/n8n

#python #autogluon #automated_machine_learning #automl #computer_vision #data_science #deep_learning #ensemble_learning #forecasting #gluon #hyperparameter_optimization #machine_learning #natural_language_processing #object_detection #python #pytorch #scikit_learn #structured_data #tabular_data #time_series #transfer_learning

AutoGluon makes machine learning easy and fast. With just a few lines of code, you can train and use high-accuracy models for images, text, time series, and tabular data. This means you can quickly build and deploy powerful machine learning models without needing to write a lot of code. It supports Python 3.8 to 3.11 and works on Linux, MacOS, and Windows, making it convenient for various users. This saves time and effort, allowing you to focus on other parts of your project.

https://github.com/autogluon/autogluon