Implementing LLM architectures from scratch in PyTorch
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Implementing LLM architectures from scratch in PyTorch
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
Application of asyncio to hardware interfaces. Tutorial and code.
Data Hacking Project
A curated list of awesome D documents, frameworks, libraries and software. Inspired by awesome-python.
An open-source activism platform
The repository host gives no description.
A curated list of awesome CircuitPython guides, videos, libraries, frameworks, software and resources.
Some CircuitPython tricks, mostly reminders to myself
Evaluation functions for music/audio information retrieval/signal processing algorithms.
A curated list of Monte Carlo tree search papers with implementations.
Awesome REA (Reverse Engineer Anything): curated AI reverse engineering cases. What AI agents (REA, Craft Anything, Claude Code, Codex) reverse-engineered and rebuilt, open-source alternatives by app, and which ones really used REA. Unofficial, bilingual, every case checked.
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Harness Engineering 101 — building AI agents from first principles. The LLM is the brain; the harness is the body.
A simple, self-hosted service to keep track of your personal library 📚
A Collection of Vulnerabilities in ERC20 Smart Contracts With Tokens Affected
Graph Algorithms
This repo contains materials for use in a TensorFlow workshop.
A curated list of agent-native services and infrastructure for AI agents: email, browsers, memory, sandboxes, payments, and MCP tools. Includes selection criteria and onboarding guides.
A series of machine learning tutorials for Torch7
TranslatedAI coding perks navigation: a roundup of relay stations and public-service stations for Claude Code, Codex, and Cursor, organizing free quotas, sign-up bonuses, check-in activities, and evaluation records, and providing a visual dashboard and a Python data collection tool.
The codes I made while I practiced various TensorFlow examples
TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.