# bighuang624/AI-research-tools

:hammer:AI 方向好用的科研工具

Repository: https://github.com/bighuang624/AI-research-tools
Canonical: https://ross.abutalabs.com/products/ai-research-tools
License: MIT
License Family: permissive
Topics: tools, research-tool
Last push: 2024-06-10T11:18:18+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2701, "days_push": 814, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3426, forks 404 (observed 2026-08-28T04:08:03.966199+00:00)

## What it is
A curated list (awesome-list style) of useful research tools for AI researchers, written in Chinese. It covers the full research workflow: finding papers, reading and managing literature, running coding experiments, writing papers in LaTeX, and submitting to venues.

## Use cases
- find tools for tracking new arxiv papers
- discover literature management and paper reading tools
- find pytorch experiment and project management tools
- look up latex templates and academic writing aids
- find tools to locate code implementations of papers
- get recommendations for hyperparameter search and experiment tracking

## When to choose
- you are an AI/ML researcher building a research toolchain
- you want a curated, opinionated starting point covering the whole paper lifecycle
- you prefer community-recommended tools with brief usage notes

## When to avoid
- you need a single software tool rather than a list of links
- you cannot read Chinese, since descriptions are in Chinese
- you need maintained, installable software with support

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, search-engine, documentation
- domain: artificial-intelligence, machine-learning, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, curated-list, academic-writing, paper-reading, research-workflow, arxiv, latex, research

## Member repositories
- bighuang624/AI-research-tools (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:03.966199+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:37:52.729778+00:00, confidence not recorded.
  - readme: https://github.com/bighuang624/AI-research-tools (fetched 2026-08-28T04:08:03.966199+00:00, sha dab936bb94ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.