Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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- mit
- self-driving-cars
- deep-reinforcement-learning
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
A collection of machine learning examples and tutorials.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Curso para aprender el lenguaje de programación JavaScript desde cero y para principiantes. +120 lecciones, 14 horas en vídeo y 220 ejercicios.
A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.
At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.
Sample code for Channel 9 Python for Beginners course
Curso "Potencializando Seus Estudos e Carreira com IA: De Chatbots a Agentes"
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Aprende a PROGRAMAR aplicaciones ANDROID en KOTLIN sin conocimientos previos
TranslatedGit as the control plane for AI-native software engineering | Git change control handbook for AI Native software engineering
Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.
Rails Girls Guides
8 Lessons, Kick-start Your Cybersecurity Learning.
Material for gpu-mode lectures
NYU Deep Learning Spring 2020
A course on aligning smol models.
A CSS course to turn you into a magician.
A course in reinforcement learning in the wild
Code snapshots and materials for our "React - The Complete Guide" course (https://acad.link/reactjs)
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