Hektor Sun's starred repositories
realsense-ros
ROS Wrapper for Intel(R) RealSense(TM) Cameras
FlagEmbedding
Retrieval and Retrieval-augmented LLMs
gitbook_template
演示如何使用crifan的gitbook的模板去创建自己的gitbook电子书
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
Awesome-Chinese-LLM
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
chinese-llm-benchmark
中文大模型能力评测榜单:目前已囊括106个大模型,覆盖chatgpt、gpt4o、百度文心一言、阿里通义千问、讯飞星火、商汤senseChat、minimax等商用模型, 以及百川、qwen2、glm4、yi、书生internLM2、llama3等开源大模型,多维度能力评测。不仅提供能力评分排行榜,也提供所有模型的原始输出结果!
source-han-sans
Source Han Sans | 思源黑体 | 思源黑體 | 思源黑體 香港 | 源ノ角ゴシック | 본고딕
source-han-serif
Source Han Serif | 思源宋体 | 思源宋體 | 思源宋體 香港 | 源ノ明朝 | 본명조
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all