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LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and…
巴菲特致股东的信1957-2024,巴菲特先生的信一直是价值投资的经典范本，超越时间，超越周期，站在资本与金融的顶峰，他和他的战友芒格先生事价值投资的坚定实践者。Warren E. Buffett's Letter,To the Stockholders of Berkshire Hathaway Inc
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
Distributed Compiler and Optimized Parallel Kernels
Tile primitives for speedy kernels
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.
Building DeepSeek R1 from Scratch
《动手学大模型Dive into LLMs》系列编程实践教程
In this blog, we will build a small scale text-to-video model from scratch. We will input a text prompt, and our trained model will generate a video based on that prompt.
Machine Learning Journal for Intermediate to Advanced Topics.
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
English pronunciation correction teacher built with gemini
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
一个手把手教你从零开始编写GPT并训练大语言模型的教程
A book for Learning the Foundations of LLMs
A self-learning tutorail for CUDA High Performance Programing.
A high-throughput and memory-efficient inference and serving engine for LLMs
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
A curriculum for learning about foundation models, from scratch to the frontier
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
The Internet Classics Archive hosted at http://classics.mit.edu/
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Sweep: AI coding assistant for JetBrains
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)