Master the command line, in one page

🤗 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.

科技爱好者周刊，每周五发布

List of Computer Science courses with video lectures.

A high-throughput and memory-efficient inference and serving engine for LLMs

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Inference code for Llama models

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

C++那些事

TensorFlow code and pre-trained models for BERT

A generative speech model for daily dialogue.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Code and documentation to train Stanford's Alpaca models, and generate the data.

A playbook for systematically maximizing the performance of deep learning models.

LLM training in simple, raw C/CUDA

A generative world for general-purpose robotics & embodied AI learning.

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

Fully open reproduction of DeepSeek-R1

Official inference repo for FLUX.1 models

SGLang is a high-performance serving framework for large language models and multimodal models.

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Command & Conquer: Remastered Collection

Instruct-tune LLaMA on consumer hardware

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Tongyi Deep Research, the Leading Open-source Deep Research Agent

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

✔（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Let your Claude able to think

Machine learning, in numpy