Repositório com palestras e arquivos relacionados ao ev

AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识

In-depth tutorials and examples on LLM training and inference infrastructure, such as, Pytorch, Fairscale, Nvidia AI Modules (cuDNN, tensorRT, Megatron-LM), HuggingFace.

Daily-use scripts and automation utilities developed by an AI Cloud Solution Engineer to provision, monitor, and maintain scalable infrastructure for AI workloads.

init to record my learning path of AI Infra, especially on inference.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-po…

A TTS model capable of generating ultra-realistic dialogue in one pass.

Master programming by recreating your favorite technologies from scratch.

connect any ai agents to solana protocols

PonyGE2: grammatical evolution and variants in Python

Dex MEV Arbitrage Bot: A blazing-fast MEV Arbitrage Bot built with Rust is now available as open-source, offering valuable insight into MEV strategies for aspiring developers.

ARB Protocol | Automated Arbitrage Bot Using Jupiter

💪🏻 Blazing-fast system monitoring for your desktop (built with Rust, Tauri & Svelte)

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

This repo will house all of my notebooks that I am working on during the ML SwitchUp Program at Interview Kickstart

Apache Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.

Fundamentals of Accelerated Computing with CUDA C/C++

Awesome Free / Open Source Alternatives (to common SaaS products) for Business Use

Official inference repo for FLUX.1 models

Free MLOps course from DataTalks.Club

This is my personal knowledge-base. Here you'll find code-snippets, technical documentation, and command reference for various tools, and technologies.

A log of things I'm learning

A complete daily plan for studying to become a machine learning engineer.