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All Skills β€” education

817 skills in "education"

⭐ GitHub
Learn how to refactor Vue.js Single File Components with a real-world example
Learn how to refactor Vue.js Single File Components with a real-world example - Blog Posts
⭐ GitHub
Learn Vue 3 for Beginners - Full 2020 Tutorial Course
on Youtube
⭐ GitHub
Vue.js Debugging: A Guide to Fixing Your Frontend
Learn the basics of Vue.js debugging. This guide will walk you through a tutorial on how to fix your application's frontend.
⭐ GitHub
Help you learn more efficiently vue3 source code - mini-vue
by cuixiaorui
⭐ GitHub
Vue.js SPA: Build a Powerful E-Commerce App
Vue.js SPA: Build a Powerful E-Commerce App - Tutorials
⭐ GitHub
Suiron
Machine Learning for RC Cars.
⭐ GitHub
Practical XGBoost in Python
comprehensive online course about using XGBoost in Python.
⭐ GitHub
The Analytics Engineering Roundup
. A newsletter about data science. [Archive](https://roundup.getdbt.com/archive).
⭐ GitHub
1History
Command line interface to backup Firefox/Chrome/Safari history to one SQLite file [![Build Status](https://github.com/localfirstapp/1History/actions/workflows/CI.yml/badge.svg)](https://github.com/localfirstapp/1History/actions/workflows/CI.yml)
⭐ GitHub
blackportal-ai/delta
Ξ” An Open-Source Machine Learning Framework in Rust. ![crates.io](https://img.shields.io/crates/v/deltaml.svg) ![build](https://img.shields.io/github/actions/workflow/status/blackportal-ai/delta/core.yml?branch=master)
⭐ GitHub
pkalivas/radiate
A customizable parallel genetic programming engine capable of evolving solutions for supervised, unsupervised, and reinforcement learning problems. Comes with complete and customizable implementation of NEAT and Evtree.![Crates.io](https://img.shields.io/crates/v/radiate)
⭐ GitHub
pennylane
A hybrid quantum-classical machine learning library with automatic differentiation support.
⭐ GitHub
comportex
Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm. **[Deprecated]**
⭐ GitHub
cortex
Neural networks, regression and feature learning in Clojure.
⭐ GitHub
schemathesis
A tool for automatic property-based testing of web applications built with Open API / Swagger specifications.
⭐ GitHub
Learn AI in Fun Way
A humorous ML trainer who teaches with jokes and quizzes, making learning AI entertaining and enjoyable.
⭐ GitHub
Vue.js 2 & Vuex (Basics)
Vue.js 2 & Vuex (Basics) - Tutorials
⭐ GitHub
go-ml-benchmarks
benchmarks of machine learning inference for Go.
⭐ GitHub
gorgonia
Deep learning in Go.
⭐ GitHub
goro
A high-level machine learning library in the vein of Keras.
⭐ GitHub
blackportal-ai/nebula
A Package Manager for Machine Learning Datasets and Models. ![build](https://img.shields.io/github/actions/workflow/status/blackportal-ai/nebula/core.yml?branch=master)
⭐ GitHub
modAL
A modular active learning framework for Python, built on top of scikit-learn.
⭐ GitHub
Parris
Parris, the automated infrastructure setup tool for machine learning algorithms.
⭐ GitHub
Python Programming for the Humanities
Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
⭐ GitHub
WebStract
Your autonomous, in-depth digital educator, guiding you through comprehensive, interactive learning experiences by [@kylecoogan](https://github.com/kylecoogan)
⭐ GitHub
ml5
Friendly machine learning for the web!
⭐ GitHub
Pavlov.js
Reinforcement learning using Markov Decision Processes.
⭐ GitHub
dl4clj
Clojure wrapper for Deeplearning4j.
⭐ GitHub
ResearchGPT
AI Research Assistant. Search 200M academic papers from Consensus, get science-based answers, and draft content with accurate citations.
⭐ GitHub
Netron
Visualizer for machine learning models.
⭐ GitHub
Causal Inference for Data Science
Causal Inference for Data Science - Books
⭐ GitHub
Case Study: Adopting SRE Principles at StackOverflow
Case Study: Adopting SRE Principles at StackOverflow - Culture
⭐ GitHub
Post-Incident Reviews: Learning from Failure for Improved Incident Responses
Post-Incident Reviews: Learning from Failure for Improved Incident Responses - Books
⭐ GitHub
Realtime deployment
Tutorial on Python time-series model deployment.
⭐ GitHub
12 free Data Science projects to practice Python and Pandas
12 free Data Science projects to practice Python and Pandas - Tutorials
⭐ GitHub
ML Observability Fundamentals
Learn how to monitor and root-cause production ML issues.
⭐ GitHub
Machine Learning Mastery
about helping professional programmers confidently apply machine learning algorithms to address complex problems.
⭐ GitHub
Fred Ehrsam
Previously co-founder @Coinbase, trader @GoldmanSachs, computer science @DukeU.
⭐ GitHub
Scientific Research Digest
Finds and summarizes recent papers in biology, chemistry, and biomedical sciences.
⭐ GitHub
DataDeps
Reproducible data setup for reproducible science.
⭐ GitHub
KotlinDL
Deep learning framework written in Kotlin.
⭐ GitHub
Khan's Academy Course
The very basics of how blockchain, Bitcoin and encryption works.
⭐ GitHub
101 Sales Email Templates
πŸ“š Attach.io team prepared email examples from cold outreach to LinkedIn intro messages.
⭐ GitHub
A Brief History of Rust. Part 1
From a developer's pursuit of software stability to a project that nearly destabilized its creator. [Part 2](https://medium.com/rustaceans/make-it-mandatory-a-brief-history-of-rust-part-2-981d61451aa5). [Part 3](https://medium.com/rustaceans/make-it-mandatory-a-brief-history-of-rust-part-2-b8c0f7a7e
⭐ GitHub
AnalyzePaper
Takes in a research paper or article, analyzes its claims, study quality, and results confidence and provides an easy-to-understand summary by [Daniel Miessler](https://x.com/DanielMiessler/)
πŸ€– LobeHub
Socratic Teacher
Helps you learn things by leading you to answers
⭐ GitHub
unsup
A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA). **[Deprecated]**
⭐ GitHub
Spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012. **[Deprecated]**
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