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【三年面试五年模拟】AIGC算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、AI Agent、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
这里是GitHub的草场，也是戈戈圈爱好者的交流地，主要讨论动漫、游戏、科技、人文、生活等所有话题，欢迎各位小伙伴们在此讨论趣事。This is GitHub grassland, and the community place for Gege circle lovers, mainly discusses anime, games, technology, lifing and othe…
Production-ready platform for agentic workflow development.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Unified framework for robot learning built on NVIDIA Isaac Sim
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A library that makes working with Bluetooth LE on Android a pleasure. Seriously.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
An open-source AI agent that brings the power of Gemini directly into your terminal.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Samples using the Agent2Agent (A2A) Protocol
Open screens/snackbars/dialogs/bottomSheets without context, manage states and inject dependencies easily with Get.