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Lists (4)
Starred repositories
😎 Awesome lists about all kinds of interesting topics
An opinionated list of awesome Python frameworks, libraries, software and resources.
An Open Source Machine Learning Framework for Everyone
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 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.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
🦜🔗 The platform for reliable agents.
The new Windows Terminal and the original Windows console host, all in the same place!
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
Robust Speech Recognition via Large-Scale Weak Supervision
Models and examples built with TensorFlow
A latent text-to-image diffusion model
A curated list of awesome Machine Learning frameworks, libraries and software.
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…
Source code for the X Recommendation Algorithm
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
📚 List of awesome university courses for learning Computer Science!
A high-throughput and memory-efficient inference and serving engine for LLMs
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
The simplest, fastest repository for training/finetuning medium-sized GPTs.
🎆Interactive Online Platform that Visualizes Algorithms from Code
The definitive Web UI for local AI, with powerful features and easy setup.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
High-Resolution Image Synthesis with Latent Diffusion Models
Making large AI models cheaper, faster and more accessible