68 skills found · Page 1 of 3
VKCOM / YouTokenToMeUnsupervised text tokenizer focused on computational efficiency
HKUDS / LightReasoner"LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?"
rhino-acoustic / NeuronFSStructure is Context. 0-byte files govern AI — ₩0 infrastructure, ~200x token efficiency. OS-native constraint engine for LLM agents.
Dave-London / PareDev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.
SpharxTeam / AgentOSNo LangChain wrappers—built from scratch with our own architecture and memory system.3× faster than OpenClaw on engineering tasks, slashing token usage by 2/3.Powered by agent team-driven design, CoreLoopThree and MemoryRovol deliver engineering-grade task completion with maximum token efficiency.Token efficiency 3× higher than mainstream framework
OpenGVLab / DiffRate[ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging techniques, while incorporating a differentiable compression rate.
abhishek305 / PyBot A ChatBot For Answering Python Queries Using NLPPybot can change the way learners try to learn python programming language in a more interactive way. This chatbot will try to solve or provide answer to almost every python related issues or queries that the user is asking for. We are implementing NLP for improving the efficiency of the chatbot. We will include voice feature for more interactivity to the user. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. NLTK has been called “a wonderful tool for teaching and working in, computational linguistics using Python,” and “an amazing library to play with natural language.The main issue with text data is that it is all in text format (strings). However, the Machine learning algorithms need some sort of numerical feature vector in order to perform the task. So before we start with any NLP project we need to pre-process it to make it ideal for working. Converting the entire text into uppercase or lowercase, so that the algorithm does not treat the same words in different cases as different Tokenization is just the term used to describe the process of converting the normal text strings into a list of tokens i.e words that we actually want. Sentence tokenizer can be used to find the list of sentences and Word tokenizer can be used to find the list of words in strings.Removing Noise i.e everything that isn’t in a standard number or letter.Removing Stop words. Sometimes, some extremely common words which would appear to be of little value in helping select documents matching a user need are excluded from the vocabulary entirely. These words are called stop words.Stemming is the process of reducing inflected (or sometimes derived) words to their stem, base or root form — generally a written word form. Example if we were to stem the following words: “Stems”, “Stemming”, “Stemmed”, “and Stemtization”, the result would be a single word “stem”. A slight variant of stemming is lemmatization. The major difference between these is, that, stemming can often create non-existent words, whereas lemmas are actual words. So, your root stem, meaning the word you end up with, is not something you can just look up in a dictionary, but you can look up a lemma. Examples of Lemmatization are that “run” is a base form for words like “running” or “ran” or that the word “better” and “good” are in the same lemma so they are considered the same.
get-zeked / Perplexity Super SkillsComplete collection of 12 Perplexity Computer Super-Skills merging Perplexity + Claude Code capabilities across AI agents, dev, marketing, sales, finance, legal, PM, ops, research, content, security, and token efficiency.
tamzid958 / Claude ArchitectA plug-and-play framework for generating projects with Claude Code CLI — optimized for speed, token efficiency, and consistent output across any language or framework.
seqis / AI GrepA portable, drop-in search tool that indexes any directory. Designed specifically for **AI/LLM workflows** where token efficiency matters - find what you need without reading entire files.
lorine93s / Pumpfun Raydium Sniper Rust BotPumpfun sniper bot and raydium sniper bot. Ultra-Fast Token Sniper Bot, a high-performance Rust-based sniper bot engineered to snipe newly launched tokens on raydium and pumpfun at unparalleled speeds. Designed for precision and efficiency, this pumpfun & raydium sniper bot leverages low-latency execution, gRPC data feed
dweve-ai / HedlToken-efficient data serialization for LLM/AI. 50% fewer tokens than JSON, 93% better value/token. Rust, schema validation, LSP.
elb-pr / Claudikins Tool ExecutorSlim tool definitions. Auto-compressed responses. Context efficiency on both end. Ships with 7 example servers, reduces context consumption by 98% (48k tokens down to 1.1k).
lucidrains / Quartic TransformerExploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)
androidZzT / Cc StatisticsAI Coding stats dashboard — track costs, tokens, and efficiency across Claude Code / Gemini CLI / Codex / Cursor
hasanar1f / HiRED[AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Vision-Language Models (e.g., LLaVA-Next) under a fixed token budget.
seojoonkim / AgentlinterESLint for AI Agents — AGENTS.md/CLAUDE.md 채점·진단·자동수정 | Position Risk Warning · Token Efficiency · Security Check
WeaveMindAI / WebfurlA browser use AI agent that uses a compressed unfoldable representation of HTML for high token efficiency
SajiJohnMiranda / DoCoreAIDoCoreAI is a next-gen open-source AI profiler that optimizes reasoning, creativity, precision and temperature in a single step—cutting token usage by 15-30% and lowering LLM API costs
OnChainMee / Pumpfun Raydium Sniper Rust Bot︻pS═─── - - -💥 Introducing pumpfun sniper bot and raydium sniper bot. Ultra-Fast Token Sniper Bot, a high-performance Rust-based sniper bot engineered to snipe newly launched tokens on raydium and pumpfun at unparalleled speeds. Designed for precision and efficiency, this pumpfun & raydium sniper bot leverages low-latency execution, gRPC data feed
