1021 Open source projects that are alternatives of or similar to Free_r_tips

Most commonly used git tips and tricks.

A curated list of backlink, social signal opportunities, and link building strategies and tactics to help improve search engine results and ranking.

Un listado de preguntas y respuestas que hemos y nos han preguntado en entrevistas para Ingenieros y Desarrolladores de Front End (Para facilitar las entrevistas y el estudio)

Here is what you need to setup your progressive web app dev environment

A bunch of Delphi language tips migrated from the DelphiDabbler.com website, plus others.

33 条常用 git 命令详解

A collection of tips to help up your jQuery game

Code Snippets + Tricks & Tips to help Pine Script developers

Useful HTML file upload tips for web developers

Here you will find Guides mainly for Sonarr/Radarr/Bazarr and everything related to it.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

JavaScript tips (ES6, CSS, Benchmarks, React, Redux, ...)

⚡ Este repositório é direcionado para dicas com a linguagem python, que estão sendo postadas em meu linkedin.

With best practices under your fingertips, you will not lose precious time on reinventing the wheel. Instead, you can focus on writing quality code and getting the job done.

Community-run website for documenting Xcode Tips

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

Useful Flutter and Dart Tips.

Cheatsheet and bash scripts sripts for Synology Nas Stations cheet cheat sheet nas networkdisk

Daily Tips from Swift World

Daily tips from Android World

Gradle tips for all of us

Wiki related to the Pharo programming language and environment.

Hugo content for the openshift.tips blog

Daily tips from Android World

A collection of tips to help take your CSS skills pro

📖 The Official Dash Userguide & Documentation

Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"

📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->

Collection of useful data science topics along with code and articles

Dash for R - An R interface to the Dash ecosystem for creating analytic web applications

An extension to pandas dataframes describe function.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

The best (weekly) newsletters

阿水的数据竞赛开源分支

Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

Wikipedia tools (for Humans): easily extract data from Wikipedia, Wikidata, and other MediaWikis

Biosignal Processing in Python

Open source production model management tool for data scientists

Deep Learning Computer Vision Algorithms for Real-World Use

How to use TensorLayer

Knee point detection in Python 📈

A framework to add patronage to your apps.

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

🔫 논산 육군훈련소에 대한 정보와 팁

A data management platform for the web, developed by Kitware

Code for Machine Learning for Algorithmic Trading, 2nd edition.

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

Newsletter Builder with MJML components in GrapesJS

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

The best resources around Machine Learning

Probabilistic reasoning and statistical analysis in TensorFlow

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Interactive reports to analyze machine learning models during validation or production monitoring.

Automate Data Exploration and Treatment

A Machine Learning System for Data Enrichment.

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch