Reverse Dependencies of tiktoken

The following projects have a declared dependency on tiktoken:

• talk-codebase — talk-codebase is a powerful tool for querying and analyzing codebases.
• taskforceagents — Domain Specific Agents - customized to work in teams to plan and solve real-world problems for real people
• tavily-python — Python wrapper for the Tavily API
• teams-ai — SDK focused on building AI based applications for Microsoft Teams.
• teams-ai-azml — SDK focused on building AI based applications for Microsoft Teams.
• teams-ai-azml-model — SDK focused on building AI based applications for Microsoft Teams.
• TeLLMgramBot — OpenAI GPT, driven by Telegram
• tembo-py — The official Python client for Tembo.io
• tenten — AI Software Engineer
• terminaider — AI assistant for your terminal
• TerminalApplication — no summary
• Terminalgemini — AI chat assistant in your terminal powered by Gemini models.
• terminalgpt — AI chat assistant in your terminal powered by OpenAI ChatGPT models.
• TerminalGPT-main — AI chat assistant in your terminal powered by Gemini models.
• terminalgpt-pro — AI chat assistant in your terminal powered by OpenAI ChatGPT models.
• tesla-revChatGPT — ChatGPT is a reverse engineering of OpenAI's ChatGPT API
• test-make — Testing a package.
• testgailbot002 — GailBot API
• testgailbotapi — GailBot Test API
• testgailbotapi001 — GailBot Test API
• testpackage12121 — This library is to search the best parameters across different steps of the RAG process.
• testzeus-hercules — Hercules: The World's First Open-Source AI Agent for End-to-End Testing
• text-chatgpt-connector — ChatGPT reads Text files
• text_lloom — Concept Induction to analyze unstructured text
• text-machina — Text Machina: Seamless Generation of Machine-Generated Text Datasets
• textanalyzer — TextAnalyzer is a Python package that allows you to quickly and easily understand complex text data.
• textsplitter — A Python library to split large text into smaller chunks based on the maximum token size and other criteria
• texttunnel — Efficient text processing with the OpenAI API
• texture-viz — Process and profile text datasets interactively
• textwiz — An even simpler way to use open-source LLMs.
• therix — Therix is the SDK for langchain based applications.
• thinkgpt — ThinkGPT is a Python library aimed at implementing Chain of Thoughts for Large Language Models (LLMs), prompting the model to think, reason, and to create generative agents.
• three-flatline-cli — CLI for the Dixie vulnerability scanner from 3Flatline
• tiktoken-chatml — no summary
• tiktoken-cli — Simple wrapper around tiktoken to use it in your favorite language.
• tiktoken-p50k-im — p50k_im encoding for tiktoken
• TikTokenCost — Module to estimate inference and training costs with each OpenAI model, over certain texts.
• tiktokenize — no summary
• tinygrad — You like pytorch? You like micrograd? You love tinygrad! <3
• tinygrad-tools — You like pytorch? You like micrograd? You love tinygrad! <3
• tinyllm — Development and management infrastructure for LLM applications
• tinymm — A simple and 'tiny' implementation of many multimodal models
• tixent — A text splitting tool
• tkn — A command-line utility for working with BPE tokenizers
• tocky — Extract structured table of contents data from digitized books.
• tok2me-python — A fancy CLI of Tok2Me.
• token-count — Count the number of tokens in a text string or file, similar to the Unix 'wc' utility.
• token-counter — A token counter for counting tokens of LLM inputs and outputs
• tokencost — To calculate token and translated USD cost of string and message calls to OpenAI, for example when used by AI agents
• tokencurator — Manage text content to fit specific token limits of machine learning models
• tokenlog — Simplest token log system for your LLM, embedding model calls.
• tokenmeter — A library for calculating and estimating costs of language model usage
• tokentrim — Easily trim 'messages' arrays for use with GPTs.
• tokmon — tokmon is a CLI utility to monitor OpenAI token usage and costs
• tonic-validate — RAG evaluation metrics.
• topicgpt — A package for integrating LLMs like GPT-3.5 and GPT-4 into topic modelling
• topicgpt_python — Official implementation of TopicGPT: A Prompt-based Topic Modeling Framework (NAACL'24)
• torchtune — A native-PyTorch library for LLM fine-tuning
• totokenizers — Text tokenizers.
• toyllm — Toy LLM
• trane — automatically generate prediction problems and labels for supervised learning.
• translatedoc — PDFなどのドキュメントを翻訳するツール。
• translation-new — A python package for Multi Lingual Translation using LLM
• translator-cli — A tool for translating texts between different languages
• tree-plus — A `tree` util enhanced with tokens, lines, and components.
• tree-plus-BIONICLES — tree util plus file components as leaves and token, line counts
• trulens-apps-llamaindex — Library to systematically track and evaluate LLM based applications.
• tt-945 — AI Software Engineer
• tti-teams-ai — SDK focused on building AI based applications for Microsoft Teams.
• ttok — Count and truncate text based on tokens
• tudan — Toolkit for infra management
• turbo-ai — Idiomatic way to build chatgpt apps using async generators in python
• turbo-chat — Idiomatic way to build chatgpt apps using async generators in python
• turbo-docs — GPT-powered command line interface for generating documentation
• turbo-text-transformer — no summary
• tweets-to-topic-network — start from a set of tweets and create a multilayer network where each layer is a topic
• twlib — no summary
• typebuild — A brief description of your package
• typegpt — TypeGPT - Make GPT safe for production
• uniflow — Unified interface for pre-training data augmentation and post-training evaluation of Large Language Models (LLMs).
• unimpossible-langcraft — Framework to abstract common LLMs for completion, supporting vision and function calling into native Python
• unique_toolkit — no summary
• unstract-sdk — A framework for writing Unstract Tools/Apps
• unstructured-cpu — A library that prepares raw documents for downstream ML tasks.
• unstructured-ingest — A library that prepares raw documents for downstream ML tasks.
• utils-B-infra — A collection of utility functions and classes for Python projects.
• vantage-sdk — Vantage Python SDK.
• vectara-agentic — A Python package for creating AI Assistants and AI Agents with Vectara
• vector_cli — cli tool to ask about your files
• vector-etl — Lightweight ETL Framework for Vector Databases
• vector-vault — Quickly create ChatGPT RAG apps and Unleash the full potential of GenAI with Vector Vault
• vectorflow-client — Use this Python client to embed documents with VectorFlow, an open source, high throughput, production ready vector embedding pipeline.
• vectorvein — VectorVein python SDK
• venture-ai — A Fast, Flexible Trainer with Callbacks and Extensions for PyTorch
• VeriScore — Pip package for VeriScore
• vesslflow — VESSLFlow
• video-translator — The collection of command-line utils to translate videos
• VidFlow — making videos at lightspeed
• vietlm — An experiment for large models specific to Vietnamese, including language models and more.
• vlite — A simple and blazing fast vector database