BayesianDeepLearning Survey alternatives for AI agents.

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Academic Research Skills for Claude Code: research → write → review → revise → finalize

Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows

Run autonomous deep research over web and local sources

Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript arguments, and first-submission packages such as cover letters, title pages, highlights, author contributions, availability or declaration text, and reviewer suggestions. Also use to classify Results evidence, decide what belongs in main text, captions, Methods or source data, or Supplementary Information, compress Results to the shortest sufficient evidence chain, prevent revision accretion, and audit paragraph necessity or claim repetition. Trigger on drafting a paper or section, structuring a manuscript, academic writing, first submission, 投稿材料、首次投稿、投稿信、标题页、亮点、作者贡献、数据可用性声明、推荐审稿人.

Tongyi Deep Research, the Leading Open-source Deep Research Agent

Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Deep Learning for humans

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.

Deep universal probabilistic programming with Python and PyTorch

🤗 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.