a nodeschool.io-style workshopper for learning how to debug Node.js apps
Repository Index
47,133 repositories indexed
121–144 of 171 · Most stars
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
- ai-engineering
- course
- data-engineering
- deep-learning
Learn everything about Go in 7 days (from a Nodejs developer).
- 103cuong
- golang
- go
- roadmap
Software Foundations
Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
The repository host gives no description.
Introduction to Deep Learning
A repo for a Program and Data Representation university-level course
(THIS IS THE PUBLIC VERSION) Muse-by-Meta usage audit companion designed for those who want to understand Muse’s actions during a multi-step task without pretending to have telemetry they can’t actually access.Check out Muse, your personal AI agent. Code: 5F2V31 https://muse.ai/join
- meta
- metaai
- metaai-api
- metaai-download
Learn to use https://github.com/caolan/async in this self guided workshop
- async
- workshop
- rvagg
- javascript
Contains materials for my technical presentation exploring Linux malware tradecraft—from userland and fileless techniques to kernel rootkits, ftrace, eBPF, and defensive strategies.
Resources for the Magento 2 Certified Professional Front End Developer exam
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
- moloch
- suricata
- monitoring
- nsm
Learning the functional paradigm with js
The repository host gives no description.
introduction à Craft CMS / introduction to Craft CMS
Learn Advanced React Hooks workshop
Let's learn Algorand!
A NodeSchool workshopper to introduce JS developers to algorithms
This training kit has been developed to learn the basics of Backbone.JS.
- backbone-marionette
- backbone
- training-kit
- javascript
Syllabus and other general course information
Learn Lisp efficiently and become a happy programmer.
Coq development for the course "Mechanized semantics", Collège de France, 2019-2020
Exercises for the lecture "Selected Topics in Audio Signal Processing"