Showing 90 open source projects for "colab"

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  • 1
    Colab-MCP

    Colab-MCP

    An MCP server for interacting with Google Colab

    Colab-MCP is an open-source Model Context Protocol server developed by Google that enables AI agents to directly interact with and control Google Colab environments programmatically, transforming Colab into a fully automated, agent-accessible workspace. Instead of relying on manual notebook usage, the system allows MCP-compatible agents to execute code, manage files, install dependencies, and orchestrate entire development workflows within Colab’s cloud infrastructure. ...
    Downloads: 2 This Week
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  • 2
    fast-stable-diffusion

    fast-stable-diffusion

    Fast-stable-diffusion + DreamBooth

    fast-stable-diffusion is a community-curated GitHub repository that provides Colab notebooks and integration examples for running Stable Diffusion and associated UIs like AUTOMATIC1111, ComfyUI, and DreamBooth directly on Google Colab environments. Rather than being a standalone packaged application, this project offers ready-to-use interactive notebooks that install and launch full-feature Stable Diffusion web UIs inside Colab without requiring complex local setups or GPU installations. ...
    Downloads: 0 This Week
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  • 3
    Video2X

    Video2X

    A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K

    ...Usage instructions are embedded in the Colab Notebook.
    Downloads: 570 This Week
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  • 4
    stable-diffusion-videos

    stable-diffusion-videos

    Create videos with Stable Diffusion

    Create videos with Stable Diffusion by exploring the latent space and morphing between text prompts. Try it yourself in Colab.
    Downloads: 1 This Week
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  • 5
    Hands-On Large Language Models

    Hands-On Large Language Models

    Official code repo for the O'Reilly Book

    ...The repository is structured into chapters that align with the educational progression of the book — covering everything from foundational topics like tokens, embeddings, and transformer architecture to advanced techniques such as prompt engineering, semantic search, retrieval-augmented generation (RAG), multimodal LLMs, and fine-tuning. Each chapter contains executable Jupyter notebooks that are designed to be run in environments like Google Colab, making it easy for learners to experiment interactively with models, visualize attention patterns, implement classification and generation tasks.
    Downloads: 75 This Week
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  • 6
    SoniTranslate

    SoniTranslate

    Synchronized Translation for Videos

    ...The project supports a wide range of languages for translation, spanning major world languages (English, Spanish, French, German, Chinese, Arabic, etc.) and many regional or less widely spoken languages, making it suitable for broad internationalization. It offers multiple usage modes, including a Colab notebook for cloud-based experimentation, a Hugging Face Space demo for quick trials, and instructions.
    Downloads: 29 This Week
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  • 7
    ChatTTS_colab

    ChatTTS_colab

    One-click deployment (including offline integration package)

    ChatTTS_colab is a wrapper project around the ChatTTS model that focuses on “one-click” deployment, especially in Google Colab. It provides an integrated offline bundle and scripts for Windows and macOS so users can run ChatTTS locally without wrestling with complex environment setup. The repository includes Colab notebooks that launch a Gradio-based web UI and expose streaming TTS, making it possible to listen to generated audio as it is produced. A distinctive feature is the “voice gacha” system, which batch-generates many distinct voice timbres and allows users to save the ones they like into a curated voice library. ...
    Downloads: 0 This Week
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  • 8
    Dramatron

    Dramatron

    Dramatron uses large language models to generate coherent scripts

    ...It was evaluated through user studies with professional playwrights and screenwriters, who found it particularly valuable for world-building, idea generation, and exploring alternative plotlines. The system can be run locally or in Google Colab, where users can integrate their own large language models by implementing sampling functions.
    Downloads: 8 This Week
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  • 9
    CogVideo

    CogVideo

    text and image to video generation: CogVideoX (2024) and CogVideo

    ...Current releases cover CogVideoX-2B, CogVideoX-5B, and the upgraded CogVideoX1.5-5B variants, plus image-to-video (I2V) models, with options for BF16/FP16/FP32—and INT8 quantized inference via TorchAO for memory-constrained setups. The codebase emphasizes practical deployment: prompt-optimization utilities (LLM-assisted long-prompt expansion), Colab notebooks, a Gradio web app, and multiple performance knobs (tiling/slicing, CPU offload, torch.compile, multi-GPU, and FA3 backends via partner projects).
    Downloads: 24 This Week
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  • 10
    Open X-Embodiment

    Open X-Embodiment

    Unified open dataset enabling cross-embodiment learning for robotics

    ...This enables seamless integration for training, evaluation, and model development across diverse robotic tasks and embodiments. The dataset aggregates contributions from multiple open-source robotic projects, all harmonized under a single unified data schema. The repository also provides Colab notebooks for dataset visualization, batching, and model inference, along with pretrained model checkpoints such as RT-1-X, a multitask robotic transformer model trained on this data.
    Downloads: 4 This Week
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  • 11
    GPU Puzzles

    GPU Puzzles

    Solve puzzles. Learn CUDA

    ...The project emphasizes experimentation and problem solving, encouraging learners to discover GPU programming techniques through trial and exploration. It can be run in cloud environments such as Google Colab, making it easy for beginners to start experimenting without configuring local GPU hardware.
    Downloads: 1 This Week
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  • 12
    Tracking Any Point (TAP)

    Tracking Any Point (TAP)

    DeepMind model for tracking arbitrary points across videos & robotics

    ...RoboTAP demonstrates how TAPIR-style tracks can drive real-world robot manipulation via efficient imitation, and ships with a dataset of annotated robotics videos. The repo provides JAX and PyTorch checkpoints, Colab demos, and a real-time live demo that runs on a GPU to let you select and track points interactively.
    Downloads: 4 This Week
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  • 13
    Speech-AI-Forge

    Speech-AI-Forge

    Speech-AI-Forge is a project developed around TTS generation model

    ...At its core, it acts as a hub that wires together multiple speech-related capabilities, including TTS, speech-to-text and LLM-based control flows, behind a consistent interface. The system is designed to be deployed in several ways: you can try it online via hosted demos, spin it up in a one-click Colab environment, run it in Docker containers, or set it up locally with its environment preparation scripts. It is model-agnostic and advertises support for a variety of TTS and speech models such as ChatTTS, CosyVoice, Fish-Speech, FireredTTS and others, as well as Whisper-based ASR, giving you a flexible playground for experimenting with different speech stacks. ...
    Downloads: 5 This Week
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  • 14
    LLM-Finetuning

    LLM-Finetuning

    LLM Finetuning with peft

    ...The project focuses on parameter-efficient fine-tuning methods such as LoRA and QLoRA, which allow large models to be adapted to new tasks without requiring full retraining. Instead of requiring specialized hardware or complex training pipelines, many examples are designed to run in cloud notebook environments such as Google Colab. The repository includes step-by-step notebooks demonstrating how to fine-tune models such as LLaMA, Falcon, OPT, Vicuna, and GPT-NeoX. These tutorials show how developers can adapt pretrained models for tasks such as chatbots, classification, and instruction following. The project also illustrates how low-precision training techniques and adapter-based methods reduce memory requirements while maintaining strong model performance.
    Downloads: 0 This Week
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  • 15
    BertViz

    BertViz

    BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

    BertViz is an interactive tool for visualizing attention in Transformer language models such as BERT, GPT2, or T5. It can be run inside a Jupyter or Colab notebook through a simple Python API that supports most Huggingface models. BertViz extends the Tensor2Tensor visualization tool by Llion Jones, providing multiple views that each offer a unique lens into the attention mechanism. The head view visualizes attention for one or more attention heads in the same layer. It is based on the excellent Tensor2Tensor visualization tool. ...
    Downloads: 0 This Week
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  • 16
    SillyTavern

    SillyTavern

    LLM Frontend for Power Users

    Mobile-friendly, Multi-API (KoboldAI/CPP, Horde, NovelAI, Ooba, OpenAI, OpenRouter, Claude, Scale), VN-like Waifu Mode, Horde SD, System TTS, WorldInfo (lorebooks), customizable UI, auto-translate, and more prompt options than you'd ever want or need. Optional Extras server for more SD/TTS options + ChromaDB/Summarize. SillyTavern is a user interface you can install on your computer (and Android phones) that allows you to interact with text generation AIs and chat/roleplay with characters...
    Downloads: 368 This Week
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  • 17
    handson-ml3

    handson-ml3

    Fundamentals of Machine Learning and Deep Learning

    ...The third edition updates the content for TensorFlow 2 and Keras, introduces new chapters (for example on reinforcement learning or generative models), and offers best-practice code that reflects current ecosystems. The notebooks are designed so you can run them locally or on Colab/online, making it accessible for learners regardless of infrastructure. The author includes solutions for exercises and sets up an environment specification so you can reproduce results. Because the discipline of ML evolves rapidly, this repo serves both as a learning path and a reference library you can revisit as models.
    Downloads: 1 This Week
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  • 18
    Google DeepMind GraphCast and GenCast

    Google DeepMind GraphCast and GenCast

    Global weather forecasting model using graph neural networks and JAX

    ...The package includes pretrained model weights, normalization statistics, and demonstration notebooks that allow users to replicate and fine-tune weather forecasting experiments in Colab or on Google Cloud TPUs and GPUs.
    Downloads: 1 This Week
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  • 19
    Applio

    Applio

    A simple, high-quality voice conversion tool focused on ease of use

    Applio is a high-quality voice conversion toolkit designed to make modern RVC/VITS-based voice cloning accessible to non-experts. It focuses strongly on ease of use: installation scripts for Windows, Linux, and macOS set up dependencies and then launch a browser-based Gradio interface. Within that interface, users can train and run voice conversion models for tasks like singing conversion, speech-to-speech transformation, and voice cloning. The project is structured to be flexible through...
    Downloads: 61 This Week
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  • 20
    PyTorch/XLA

    PyTorch/XLA

    Enabling PyTorch on Google TPU

    PyTorch/XLA is a Python package that uses the XLA deep learning compiler to connect the PyTorch deep learning framework and Cloud TPUs. You can try it right now, for free, on a single Cloud TPU with Google Colab, and use it in production and on Cloud TPU Pods with Google Cloud. Take a look at one of our Colab notebooks to quickly try different PyTorch networks running on Cloud TPUs and learn how to use Cloud TPUs as PyTorch devices. We are also introducing new TPU VMs for more transparent and easier access to the TPU hardware. This is our recommedned way of running PyTorch/XLA on Cloud TPU. ...
    Downloads: 0 This Week
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  • 21
    Open Directory Downloader

    Open Directory Downloader

    Indexes open directories

    Indexes open directories listings in 130+ supported formats, including FTP(S), Google Drive, Bhadoo, GoIndex, Go2Index (alternatives), Dropbox, Mediafire, GoFile, GitHub. Written in C# with .NET (Core), which means it is cross-platform! Downloading is not (yet) implemented, but is already possible when you use the resulting file into another tool (for most of the formats). When you are NOT using the self-contained releases, you need to install the latest/current Runtime version of .NET 7....
    Downloads: 3 This Week
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  • 22
    Learning Interpretability Tool

    Learning Interpretability Tool

    Interactively analyze ML models to understand their behavior

    The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks.
    Downloads: 0 This Week
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  • 23
    MuJoCo Playground

    MuJoCo Playground

    An open source library for GPU-accelerated robot learning

    MuJoCo Playground, developed by Google DeepMind, is a GPU-accelerated suite of simulation environments for robot learning and sim-to-real research, built on top of MuJoCo MJX. It unifies a range of control, locomotion, and manipulation tasks into a consistent and scalable framework optimized for JAX and Warp backends. The project includes classic control benchmarks from dm_control, advanced quadruped and bipedal locomotion systems, and dexterous as well as non-prehensile manipulation setups....
    Downloads: 6 This Week
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  • 24
    Audiblez

    Audiblez

    Generate audiobooks from e-books

    Audiblez is a tool for generating high-quality .m4b audiobooks directly from .epub e-books using the Kokoro-82M neural text-to-speech model. It focuses on making audiobook creation easy and fast: from a single command, the tool splits an e-book into chapters, synthesizes audio for each section, and then merges the results into a structured audiobook with chapter-based WAV files and a final .m4b container. The Kokoro-82M model it uses is compact (82M parameters) yet natural sounding, trained...
    Downloads: 5 This Week
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  • 25
    Interactive Machine Learning Experiments

    Interactive Machine Learning Experiments

    Interactive Machine Learning experiments

    Interactive Machine Learning Experiments is a collection of interactive demonstrations that showcase how various machine learning models can be trained and used in real applications. The project combines Jupyter or Colab notebooks with browser-based visual demos that allow users to see trained models operating in real time. Many experiments involve tasks such as image classification, object detection, gesture recognition, and simple generative models. The models are typically trained in Python using TensorFlow and then exported for interactive demonstrations in a web environment using JavaScript and TensorFlow.js. ...
    Downloads: 1 This Week
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