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A generative speech model for daily dialogue.
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
ComfyUI LayerDivider is custom nodes that generating layered psd files inside ComfyUI
A tool to divide a single illustration into a layered structure.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
A minimal GPU design in Verilog to learn how GPUs work from the ground up
CoreNet: A library for training deep neural networks
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
Groq-Powered Real-Time Voice Assistant
Concatenate a directory full of files into a single prompt for use with LLMs
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Generative AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, …
AI driven development in your terminal. Designed for large, real-world tasks.
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly …
visualising discord mutual friends in 3d space
Project Manager Extension for Visual Studio Code
Painter & SegGPT Series: Vision Foundation Models from BAAI
We write your reusable computer vision tools. 💜
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
API for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
[CVPR 2024] Official implementation of the paper "Visual In-context Learning"