Search Results for "token"

...Automatically manage paging data, and data preloading, reduce unnecessary data refresh, improve fluency by 300%, and reduce coding difficulty by 50%. Send requests immediately by watching state changes, useful in tab switching and condition querying. Global interceptor that supports silent token refresh, as well as providing unified management of token-based login, logout, token assignment, and token refresh.

LLM-TLDR is a Python-based tool designed to dramatically reduce the amount of code a large language model needs to read by extracting the essential structure and context from a codebase and presenting only the most relevant parts to the model. Traditional approaches often dump entire files into a model’s context, which quickly exceeds token limits; LLM-TLDR instead indexes project structure, traces dependencies, and summarizes code in a way that preserves semantic relevance while shrinking input size by up to 95 %. This makes queries and analysis much faster and cheaper, with dramatic token savings and latency improvements for LLM-driven development workflows. The project supports multiple programming languages and includes utilities for warming an index and then generating LLM-ready contexts or summaries of specific parts of a project.

...It defines an append-only, offset-addressable stream primitive where each stream is mapped to a URL that clients can read from or tail, supporting catch-up reads, historical replay, and live updates with robust resume capabilities across reconnections. The protocol is aimed at modern client-centric applications including AI token streaming, mobile and web UI sync, collaborative editing, and other real-time scenarios where network interruptions are common and clients must maintain continuity.

cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. cleanlab cleans your data's labels via state-of-the-art confident learning algorithms, published in this paper and blog. See some of the datasets cleaned with cleanlab at labelerrors.com. This package helps you...

EtherApe is a graphical network monitor modeled after etherman. Featuring Ethernet, IP, TCP, FDDI, Token Ring and wireless modes, it displays network activity graphically. Hosts and links change in size with traffic. Color coded protocols display.

Tokenize is a Julia package that serves a similar purpose and API as the tokenize module in Python but for Julia. This is to take a string or buffer containing Julia code, perform lexical analysis and return a stream of tokens.

...While it does not yet produce stunningly beautiful decks, you are encouraged to use this tool for quickly prototyping presentations. The first time the command is run you will be prompted for authorization. OAuth token credentials are stored locally in a file named ~/.md2googleslides/credentials.json. Each time you will run the above comment, new slide deck will be generated. In order to work on exactly the same deck, just get the ID of the already generated slides. md2googleslides does not edit or control any theme-related options. Just set a base theme you want on Google Slides directly. ...

.... ## Utilities One of the reasons for making this package is to encapsulate and easily share utilities for making DSL translators. Here are "the first wave" utilities: Modify token patterns to include fuzzy matching Merge two or more roles into one ## Roles Another reason for making this package is to encapsulate and easily share grammar roles for making DSL translators. Here are "the first wave" roles: Error handling role Common English terms and phrases role used in workflows from Machine Learning, Data Science, or Scientific Computing Predicate specification role