A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
- relational-database
- message-broker
- hadoop-ecosystem
- nosql
Repository Index
71,235 visible repositories in the index
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The official GitHub page for the survey paper "A Survey of Large Language Models".
- chain-of-thought
- chatgpt
- in-context-learning
- instruction-tuning
FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷 🇷🇺
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
- oneliner-commands
- bash
- data-processing
- linux-administration
YSDA course in Natural Language Processing
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
TranslatedDeep learning interview handbook (covering mathematics, machine learning, deep learning, computer vision, natural language processing, SLAM, and more)
A collection of machine learning examples and tutorials.
List of libraries, tools and APIs for web scraping and data processing.
- web-scraping
- captcha-bypass
- captcha-recaptcha
- crawling
The repository host gives no description.
- burst
- multicore-processors
- ecs
- entity
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
Translatedvue source code line by line annotation analysis + vue source code process flow chart mind map over 40 MB in size
Reading list for research topics in multimodal machine learning
- multimodal-learning
- machine-learning
- representation-learning
- natural-language-processing
🎓 Sharing machine learning course / lecture notes.
Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
A curated list of awesome self-supervised methods
- machine-learning
- computer-vision
- self-supervised
- reinforcement-learning
TranslatedAI algorithm job-hunting guide (covering preparation guides, problem-solving practice guides, internal referrals, a list of AI companies, and other materials)
If you're new to DDD and not sure where to start, this process will guide you step-by-step
- domain-driven-design
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Long list of geospatial tools and resources
- awesome-list
- awesome
- spatial-analysis
- spatial-data
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.