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A framework for few-shot evaluation of language models.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Generate any location from the real world in Minecraft with a high level of detail.
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
校招、秋招、春招、实习好项目，带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A high-throughput and memory-efficient inference and serving engine for LLMs
分享AI Infra知识&代码练习：PyTorch/vLLM/SGLang框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）
《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。
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
A course of building an LSM-Tree storage engine (database) in a week.
Use Typescript to develop Genshin UGC - Miliastra Wonderland
同济大学 数字逻辑+汇编+数据结构作业及项目+人工智能导论笔记+形式语言与自动机笔记+计算机组成原理小作业+编译原理+编译原理课程设计+计算机网络+操作系统课程设计+数据库课程设计+计算机系统结构课程设计+人机交互导论+软件工程+Web技术+深度学习与神经网络+数据库系统原理+机器学习+操作系统+计算机网络课程设计