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  • 1
    notebooklm-py

    notebooklm-py

    Unofficial Python API and agentic skill for Google NotebookLM

    notebooklm-py is an unofficial Python API and agent-ready integration layer for Google NotebookLM that exposes NotebookLM functionality through code, the command line, and AI agent workflows. Its goal is to provide programmatic access not just to standard notebook operations, but also to many capabilities that are either limited or unavailable in the web interface, making it especially useful for automation and custom pipelines.
    Downloads: 2 This Week
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  • 2
    Lingua-Py

    Lingua-Py

    The most accurate natural language detection library for Python

    Its task is simple: It tells you which language some text is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages. Language detection is often done as part of large machine learning frameworks or natural language processing...
    Downloads: 0 This Week
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  • 3
    supabase-py

    supabase-py

    Python Client for Supabase. Query Postgres from Flask, Django

    Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.
    Downloads: 0 This Week
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  • 4
    segment-geospatial

    segment-geospatial

    A Python package for segmenting geospatial data with the SAM

    The segment-geospatial package draws its inspiration from segment-anything-eo repository authored by Aliaksandr Hancharenka. To facilitate the use of the Segment Anything Model (SAM) for geospatial data, I have developed the segment-anything-py and segment-geospatial Python packages, which are now available on PyPI and conda-forge. My primary objective is to simplify the process of leveraging SAM for geospatial data analysis by enabling users to achieve this with minimal coding effort. I have adapted the source code of segment-geospatial from the segment-anything-eo repository, and credit for its original version goes to Aliaksandr Hancharenka.
    Downloads: 1 This Week
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  • 5
    GPT ChatterBot - experimental 23

    GPT ChatterBot - experimental 23

    GPT ChatterBot - experimental 23 (A ChatGPT app for PC )

    'GPT_ChatterBot' is a console (command-prompt) desktop application developed using python 3.6.8 and other add-on libaries. The experimental application uses api from OpenAI to create ChatGPT interaction on a PC Apps. Compatible only for windows OS.
    Downloads: 0 This Week
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  • 6
    Txt-2-Mp3  6.3 Mark 2 [I.S.A]

    Txt-2-Mp3 6.3 Mark 2 [I.S.A]

    Txt-2-Mp3 6.3 Mark 2 [Improved.Simplified.Alternative]

    'Txt2Mp3' an desktop application developed using python 3.6.8 and other add-on libaries. Can convert texts into audio (.mp3) files using gTTS (Google Text-to-speech) api module library. Compatible only for windows OS.
    Downloads: 0 This Week
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  • 7
    Fairseq

    Fairseq

    Facebook AI Research Sequence-to-Sequence Toolkit written in Python

    Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers.
    Downloads: 0 This Week
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  • 8
    Yukki Music Bot

    Yukki Music Bot

    Telegram Group Calls Streaming bot with some useful features

    Yukki Music Bot is a Powerful Telegram Music+Video Bot written in Python using Pyrogram and Py-Tgcalls by which you can stream songs, video and even live streams in your group calls via various sources.
    Downloads: 0 This Week
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  • 9
    MuJoCo-py

    MuJoCo-py

    mujoco-py allows using MuJoCo from Python 3

    ...The project also includes interactive examples showcasing collision handling, texture randomization, state resetting, and robot control. By bridging MuJoCo with Python, mujoco-py enables rapid prototyping, training, and evaluation of AI agents in physics-rich environments.
    Downloads: 0 This Week
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  • 10
    Rainbow

    Rainbow

    Rainbow: Combining Improvements in Deep Reinforcement Learning

    Combining improvements in deep reinforcement learning. Results and pretrained models can be found in the releases. Data-efficient Rainbow can be run using several options (note that the "unbounded" memory is implemented here in practice by manually setting the memory capacity to be the same as the maximum number of timesteps).
    Downloads: 0 This Week
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  • 11
    Easy-TensorFlow

    Easy-TensorFlow

    Simple and comprehensive tutorials in TensorFlow

    The goal of this repository is to provide comprehensive tutorials for TensorFlow while maintaining the simplicity of the code. Each tutorial includes a detailed explanation (written in .ipynb) format, as well as the source code (in .py format). There is a necessity to address the motivations for this project. TensorFlow is one of the deep learning frameworks available with the largest community. This repository is dedicated to suggesting a simple path to learn TensorFlow. In addition to the aforementioned points, the large community of TensorFlow enriches the developers with the answer to almost all the questions one may encounter. ...
    Downloads: 0 This Week
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  • 12

    PyRoboSim2D

    Python+Pygame robot simulator 2D

    2D robotic simulator in Python 2.x, tested in 2.6 and 2.7, under Win7(64) and Ubuntu 10.04 (Lucid). Needs the matching version of Pygame installed! (www.pygame.org) Download the .py file and two .bmp files: -->back2_800_600 for background -->any of the robo1.bmp through robo4.bmp for robot image (different colors). The map of the "room" can be changed by modifying the list of obstacles. Read more in ReadMe.txt and in the .py file comments.
    Downloads: 0 This Week
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