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Interactive roadmaps, guides and other educational content to help developers grow in their careers.
An Open Source Machine Learning Framework for Everyone
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other 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.
🦜🔗 The platform for reliable agents.
Virtual whiteboard for sketching hand-drawn like diagrams
21 Lessons, Get Started Building with Generative AI
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
Robust Speech Recognition via Large-Scale Weak Supervision
Python tool for converting files and office documents to Markdown.
An open-source AI agent that brings the power of Gemini directly into your terminal.
⚡ Dynamically generated stats for your github readmes
An extremely fast Python package and project manager, written in Rust.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
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…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…
Clone a voice in 5 seconds to generate arbitrary speech in real-time
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