Fooocus is an image generating software (based on Gradio ).
Global
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
#1832 · +14 · 1d ·GitHub
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.
LuxTTS is an lightweight zipvoice based text-to-speech model designed for high quality voice cloning and realistic generation at speeds exceeding 150x realtime.
#2814 · +7 · 1d ·GitHub
If you already have 1-year+ experience in machine learning, this course may help but it is specifically designed to be beginner-friendly.
This project provides a user-friendly Gradio-based Graphical User Interface (GUI) for Kohya's Stable Diffusion training scripts.
If GFPGAN is helpful in your photos/projects, please help to :star: this repo or recommend it to your friends. Thanks:blush: Other recommended projects:
#4244 · +3 · 1d ·GitHub
GPU architectures are critical to machine learning, and seem to be becoming even more important every day. However, you can be an expert in machine learning without ever touching GPU code. It is hard to gain intuition working through abstractions.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
You can use fastai without any installation by using Google Colab. ai documentation on Using Colab for more information.
#4858 · +2 · 1d ·GitHub
and download the trained weights (preliminary ceckpoints):
All yandex dist links went bad, you can download the model from the
#5800 · +1 · 1d ·GitHub
nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch. (except comments or blank lines)
#6386 · +1 · 1d ·GitHub
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA…
This repository is currently inactive (archived, read only) and serves only as a supplement some of our papers. We have transitioned to using individual repositories for new projects. For our current work, see the Magenta website and Magenta GitHub Organization.
#6989 · +0 · 1d ·GitHub
Avatarify Python requires manually downloading and installing some dependencies, and is therefore best suited for users who have some experience with command line applications. Avatarify Desktop, which aims to be easier to install and use, is recommended for most users.
#7023 · +0 · 1d ·GitHub
stable diffusion webui colab
#7083 · +0 · 1d ·GitHub
Check out our new paper and framework improved for articulated objects
The simplest way to run TAPNext / TAPNext++ / TAPIR / BootsTAPIR is to use our colab demos online. You can also clone this repo and run on your own hardware, including a real-time demo.
Serve DiffusionGemma-Jev (djev) on a TypeSafe AI compatible API on Cloud Run with an NVIDIA RTX PRO 6000 Blackwell or NVIDIA L4 GPU, or run directly inside Google Colab Pro (A100 40GB/80GB or L4 24GB) via colab.ipynb, built on mmastrac/djev.