deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
Repository Index
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AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
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"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.
System for AI Education Resource.
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
A no-fluff and highly practical masterclass that reignites engineering curiosity and helps SDE-2, SDE-3, and above become great at designing, implementing, and shipping scalable, fault-tolerant, and highly available systems at the workplace.
- system-design-project
- system-design
- system-design-interview
- system-design-questions
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
- deep-learning
- pytorch
- convolutional-neural-networks
- recurrent-neural-networks
为 CSAPP 视频课程提供字幕，翻译 PPT，Lab。
ACM-ICPC Preparation Guide
- algorithm
- curriculum
- programming-language
- acm-icpc
Offensive Software Exploitation Course
- exploitdev
- exploitation-course
- exploitation
- ose
👩🏫 Advanced NLP with spaCy: A free online course
- spacy
- nlp
- natural-language-processing
- online-course
Introduction to APIs course
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
- data
- data-engineering
- data-engineering-pipeline
- etl-pipeline
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
- ai-infrastructure
- kubernetes
- machine-learning
- mlops
IT 140 Module Two assignment for developing a beginner Python name-and-age program while practicing the Software Development Life Cycle (SDLC), including analysis, design, construction, testing, and debugging.
- beginner-programming
- computer-science-education
- introduction-to-programming
- programming-education
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
- cli
- deep-learning
- education
- from-scratch
Introduction to Deep Learning
Course materials for Zurich Initiative for Computational Economics (ZICE) 2014
A structured, multi-agent Claude Code learning environment for mastering Retrieval-Augmented Generation (RAG)