This repository is a compilation of free resources for learning Data Science.
- data-science
- machine-learning
- machine-learning-algorithms
- deeplearning
Repository Index
56,638 visible repositories in the index
313–336 of 1,003 · Most stars
A first person multiplayer shooter example project in Unity
Complete Practical Study Plan to become a successful cybersecurity engineer based on roles like Pentest, AppSec, Cloud Security, DevSecOps and so on...
- aws-security
- study-guide
- study-plan
- appsec
This is a code repository for the corresponding video tutorial. Using React, Node.js, Express & MongoDB you'll learn how to build a Full Stack MERN Application - from start to finish. The App is called "Memories" and it is a simple social media app that allows users to post interesting events that happened in their lives.
Dive into CPython internals, trying to illustrate every detail of CPython implementation
- python3
- cpython
- python
- c
Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.
A simple demo app using node and mongodb for beginners (with docker)
📖 Unofficial WireGuard Documentation: Setup, Usage, Configuration, and full example setups for VPNs supporting both servers & roaming clients.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
A comprehensive Python cheat sheet with code examples, built-in functions, module references, and hands-on labs by LabEx.
- python
- hands-on
- labex
- labs
RxJava 2 Android Examples - How to use RxJava 2 in Android
- rxjava
- android
- rxjava2
- rxandroid
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
- machine-learning
- economics
- causal-inference
- causality
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
- machine-learning
- algorithms
- dotnet
- csharp
A curated list of product management advice for technical people.
- product
- management
- product-roadmap
- product-hunt
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Example Firefox add-ons created using the WebExtensions API
- webextensions
- webextensions-apis
- mdn
- browser
A curated list of papers & resources linked to 3D reconstruction from images.
- computer-vision
- 3d-reconstruction
- motion-estimation
- awesome-list
A List of Awesome Swift Playgrounds
- swift-playgrounds
- learning-swift
- swift
- playground
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
- solid-principles
- ddd-architecture
- clean-architecture
- clean-code
A curated list of awesome YARA rules, tools, and people.
- yara-rules
- yara-signatures
- yara
- malware-rules
How to create modular Elm code that scales nicely with your app
- elm
- examples
Deep Learning Tutorial notes and code. See the wiki for more info.
A curated list of awesome network analysis resources.
- network-analysis
- network-visualization
- complex-networks
- political-networks