Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Rasagpt | 1,966 | 6 months ago | 42 | mit | Python | |||||
💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram | ||||||||||
Esp32 Cam_mjpeg2sd | 620 | 4 months ago | 1 | gpl-3.0 | C++ | |||||
ESP32 Camera motion capture application to record JPEGs to SD card as AVI files and stream to browser as MJPEG. If a microphone is installed then a WAV file is also created. Files can be uploaded via FTP or downloaded to browser. | ||||||||||
Gpt2bot | 216 | 3 years ago | 4 | mit | Jupyter Notebook | |||||
Your new Telegram buddy powered by transformers | ||||||||||
Pylearn | 32 | 5 months ago | Jupyter Notebook | |||||||
Python Zero to Hero for Artificial Intelligence and Machine Learning 🐍 | ||||||||||
Groupeqbot | 30 | a year ago | 2 | mit | Python | |||||
GroupEQBot is wrapper on top of Telegram API, with enriched functionalities to validate and analyse users behaviour within Telegram groups as well as provide analytics based on ML algorithms. | ||||||||||
Whats This Rock | 24 | 10 months ago | 12 | November 06, 2022 | 2 | mit | Jupyter Notebook | |||
Telegram Rock Classification Bot! | ||||||||||
Ktu Notifier | 14 | 2 years ago | 1 | gpl-3.0 | Python | |||||
An NLP based Telegram Bot that pushes KTU Announcements Notifications | ||||||||||
Lstm_text_generator | 10 | 7 years ago | Python | |||||||
Neural network powered telegram bot | ||||||||||
Autogpt Telegram Bot | 8 | 5 months ago | Python | |||||||
AutoGPT Telegram Bot is a Python-based chatbot developed for a self-learning project. It leverages the power of OpenAI's GPT language model to answer user questions and maintain conversation history for more accurate responses. | ||||||||||
Fib Chatbot | 8 | 6 years ago | Python | |||||||
A chatbot developed to help FIB students. It uses both NLP and Machine Learning techniques to answer questions. |