blade
Repository: blade
Author: jondot · Source status: Clear source
Better asset workflow for iOS developers.
Score basis:Clear source · Risk needs review · Universal
Narrow the list first, then review author, source, risk, and alternatives to pick faster.
Start simple, then layer advanced filters
Supported tools
Common tasks
Domains
Ability shape
Safety signals
Top authors
ABIDE checks
Showing the first 24 of 5,851 indexed skills.
Repository: blade
Author: jondot · Source status: Clear source
Better asset workflow for iOS developers.
Score basis:Clear source · Risk needs review · Universal
Repository: Awesome-LLM-Uncertainty-Reliability-Robustness
Author: jxzhangjhu · Source status: Clear source
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-llm-and-aigc
Author: coderonion · Source status: Clear source
🚀🚀🚀A collection of some awesome public projects about Large Language Model(LLM), Vision Language Model(VLM), Vision Language Action(VLA), AI Generated Content(AIGC), the related Datasets and Applications.
Score basis:Clear source · Risk needs review · Universal
Repository: Awesome-Robotics-3D
Author: zubair-irshad · Source status: Clear source
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e.
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-data-llm
Author: OpenDataBox · Source status: Clear source
Official Repository of "LLM × DATA" Survey Paper
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-chatgpt-dataset
Author: voidful · Source status: Clear source
Unlock the Power of LLM: Explore These Datasets to Train Your Own ChatGPT!
Score basis:Clear source · Risk needs review · Universal
Repository: Awesome-Efficient-Reasoning-LLMs
Author: Eclipsess · Source status: Clear source
[TMLR 2025] Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Score basis:Clear source · Risk needs review · Universal
Repository: Awesome-LLM4RS-Papers
Author: nancheng58 · Source status: Clear source
Large Language Model-enhanced Recommender System Papers
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-local-llms
Author: vince-lam · Source status: Clear source
Compare open-source local LLM inference projects by their metrics to assess popularity and activeness.
Score basis:Clear source · Risk needs review · Universal
Repository: Awesome-AI-Memory
Author: IAAR-Shanghai · Source status: Clear source
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design.
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-large-audio-models
Author: EmulationAI · Source status: Clear source
Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.
Score basis:Clear source · Risk needs review · Universal
Repository: Awesome-Model-Merging-Methods-Theories-Applications
Author: EnnengYang · Source status: Clear source
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-llm-webapps
Author: icefort-ai · Source status: Clear source
A collection of open source, actively maintained web apps for LLM applications
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-ChatGPT-resource-zh
Author: DeepTecher · Source status: Clear source
精选 OpenAI 的 [ChatGPT](https://chat.openai.com) 资源清单, 跟随最新资源并添加中文相关Work
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-comfyui
Author: ComfyUI-Workflow · Source status: Clear source
A collection of awesome custom nodes for ComfyUI
Score basis:Clear source · Risk needs review · Universal
Repository: Awesome-LLMs-in-Graph-tasks
Author: yhLeeee · Source status: Clear source
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-gulp
Author: alferov · Source status: Clear source
:tropical_drink: A curated list of awesome gulp resources, plugins, and boilerplates for a better development workflow automation - http://alferov.github.io/awesome-gulp
Score basis:Clear source · Risk needs review · Universal
Repository: Awesome-Tabular-LLMs
Author: SpursGoZmy · Source status: Clear source
We collect papers about "large language models (LLM) for table-related tasks", e.g., using LLM for Table QA task.
Score basis:Clear source · Risk needs review · Universal
Repository: Awesome-LLM-in-Social-Science
Author: ValueByte-AI · Source status: Clear source
Awesome papers involving LLMs in Social Science.
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-seedance-2-prompts
Author: YouMind-OpenLab · Source status: Clear source
🎬 500+ curated Seedance 2.0 video generation prompts — cinematic, anime, UGC, ads, meme styles.
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-llm-web-ui
Author: JShollaj · Source status: Clear source
A curated list of awesome Large Language Model (LLM) Web User Interfaces.
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-ai-agent-papers
Author: VoltAgent · Source status: Clear source
A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-smarthome
Author: pfalcon · Source status: Clear source
Curated list of awesome SmartHome/Home Automation things (open and leaving users in control)
Score basis:Clear source · Risk needs review · Universal
Repository: awesome-a2a
Author: ai-boost · Source status: Clear source
Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.
Score basis:Clear source · Risk needs review · Universal
You get source-backed evidence and hints here; installation decisions always stay with you.