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人工智能导论课程
Master programming by recreating your favorite technologies from scratch.
文言文編程語言 A programming language for the ancient Chinese.
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
The reinforcement learning training code for AgiBot X1.
An automated pipeline for evaluating LLMs for role-playing.
Try to make manim-videos with ai.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Datawhale 开源项目管理委员会（Datawhale Open-source Project Management Committee，简称DOPMC）
A high-performance runtime framework for modern robotics.
peng-zhihui / AimRT
Forked from AimRT/AimRTA high-performance runtime framework for modern robotics.
Robust Speech Recognition via Large-Scale Weak Supervision
open-source multimodal large language model that can hear, talk while thinking. Featuring real-time end-to-end speech input and streaming audio output conversational capabilities.
🌟 Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.
E2M converts various file types (doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, m4a) into Markdown. It’s easy to install, with dedicated parsers and converters, supporting custom configs. E2…
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）
SummScreen: A Dataset for Abstractive Screenplay Summarization (ACL 2022)
Trying to predict a movie's success based on the script (before filming)
A lightweight library for portable low-level GPU computation using WebGPU.
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models