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nature-academic-search 的 MCP 服务还需要单独配置 PUBMEDEMAIL，Scopus / ScienceDirect 等可选 provider 需要使用本机凭据配置，不要把 API key 写入仓库文件。

> The main TierSense repository: use the three modules independently or combine them for your application. Find project navigation, integration guidance, and the centralized authors' statements here.

> AI is your copilot, not the pilot. It can draft text, including a whole paper in full mode, but the decisions stay yours, and the pipeline stops for your confirmation at every stage. " You remain the author, and you answer for every claim you submit.

As part of model development, we evaluate our models on open research problems. We expanded these evaluations after performance on our existing mathematical evaluations saturated. Some outputs build upon earlier results produced by the models.

ARS-Codex is the Codex-native sibling of Academic Research Skills (ARS) for Claude Code. It is a separate Codex distribution with its own plugin identity, packaging, versioning, and runtime adapter.

Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics.

Papers We Love (PWL) is a community built around reading, discussing and learning more about academic computer science papers. This repository serves as a directory of some of the best papers the community can find, bringing together documents scattered across the web.

Safety News & Research Monitor.

We have coded and run 4,843 of these papers over their own full history. Some numbers worth knowing before you pick one to implement:

> Important Attribution > Most writing knowledge and methodology in this repository comes from Prof. Peng Sida (彭思达)'s open study notes: > > Prof. Peng's original repository: > > I sincerely thank Prof.

The raw source assets are available on the Hugging Face Hub (collected under UniMate): Mixamo-Animations-Characters, Objaverse-XL-Rigged-Animated and Truebones-ZOO-Annotations (prompts, metadata and renders only).

Generative AI is moving fast, and this repository is a comprehensive hub for generative AI research, courses, interview materials, notebooks, and more. Everything is now organized around one question: what do you want to do?

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Token-scale scientific discovery engine — autonomous hypothesis generation, experiment execution, and knowledge graph synthesis

Recursive Self-Improvement (RSI) refers to processes in which AI systems improve their own capabilities and can also improve the mechanisms that generate subsequent improvements.

An LLM agent's capability is largely set by its harness: the prompts, control flow, tools, memory and context management around a frozen model.

Because the repo is large, we recommend you download only the subdirectory of interest:

An opinionated, actively maintained collection of resources for software developers learning to build and ship generative AI and agentic systems.

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

To upgrade the standalone app later, rerun the installer. feynman update only refreshes installed Pi packages inside Feynman's environment; it does not replace the standalone runtime bundle itself.

A curated list of awesome Deep Learning tutorials, projects and communities.

🔥 Large Language Models(LLM) have taken the NLP community AI community the Whole World by storm. Here is a curated list of papers about large language models, especially relating to ChatGPT.

Most of the resources listed below provide lists and/or APIs to obtain (hopefully) up-to-date information with regards to threats. Some consider these sources as threat intelligence, opinions differ however.

The Engram module augments the backbone by retrieving static $N$-gram memory and fusing it with dynamic hidden states. The architecture is shown below (drawio provided):

>If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"

A curated list of awesome computer vision resources

CVPR 2026 论文和开源项目合集

One of the grand challenges of artificial intelligence is developing agents capable of conducting scientific research and discovering new knowledge.

A curated list to learn about distributed systems

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc) — browse & search it at tpn.github.io/pdfs