Google Colaboratoryの活用や設定に関する記事。
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Following the recently added zoom feature, we have added a BGM feature to Make Demo GIF / MP4. By adding background music to silent demo videos, you can create more engaging MP4s for your viewers.
ChatGPT and Claude are great tools, but do you ever hesitate before typing something work-related or personal into them? On the other hand, setting up a local GPU environment to run Ollama yourself is a steep barrier in terms of both effort and cost.
So I built a private LLM chat environment using Google Colab's free GPU — one that never sends conversation logs outside the instance — and packaged it into a single notebook. Run the cells from top to bottom, and it's ready to go.
Today I'm releasing Colab Mosaic Clip — an open-source tool that applies a mosaic or solid-color mask to any time range and region of a video, entirely through a GUI, and exports the result as MP4. It runs ffmpeg and Pillow on Google Colab, so everything from specifying the time range to placing mosaic regions and exporting the final file is handled inside the notebook UI.
Today I'm releasing Ollama Colab Free Server, an open-source notebook that runs Ollama on Google Colab's free GPU and makes it instantly available as a backend for Claude Code and Continue. Execute the cells top to bottom, and a publicly accessible LLM server is up within minutes.
Make Demo GIF / MP4, released earlier this month, now includes a zoom feature. When you want to draw attention to a specific interaction in a screen recording, simply dropping in a GIF or MP4 does not always communicate what matters. This update adds an optional zoom effect that smoothly magnifies any area of the video to highlight button clicks, form inputs, or other key UI moments.
Today I'm releasing Make Demo GIF / MP4, an open-source tool that converts screen recordings into GIFs or MP4s optimized for GitHub READMEs and social media. It runs FFmpeg on Google Colab, letting you merge multiple videos, tune quality, and adjust playback speed — all through a notebook UI, no command line required.
Today we are releasing Ollama Multi-Model Benchmarker, an open-source tool for evaluating local LLMs before committing to a setup. It runs multiple Ollama models sequentially on Google Colab's free T4 GPU and produces a side-by-side comparison of generation speed, responsiveness, model size, and more.
This guide provides practical steps for transitioning Python code created in Google Colab to a full-scale development workflow using MacBook VSCode and GitHub. For those who have been developing exclusively on Colab, this tutorial introduces specific steps to build version control with GitHub and a comfortable editing environment with local VSCode, establishing a more efficient development system.