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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
A curated list of awesome Machine Learning frameworks, libraries and software.
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaโฆ
scikit-learn: machine learning in Python
Fine-tuning & Reinforcement Learning for LLMs. ๐ฆฅ Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
The definitive Web UI for local AI, with powerful features and easy setup.
TensorFlow code and pre-trained models for BERT
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
aider is AI pair programming in your terminal
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,โฆ
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Machine Learning Engineering Open Book
An open access book on scientific visualization using python and matplotlib
Trax โ Deep Learning with Clear Code and Speed
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
A list of popular github projects related to deep learning
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require eโฆ
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
HAAS = Hierarchical Autonomous Agent Swarm - "Resistance is futile!"
Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass