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Representation Learning MSc course Summer Semester 2023
Solve puzzles. Improve your pytorch.
A lightweight library for portable low-level GPU computation using WebGPU.
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
From the Transistor to the Web Browser, a rough outline for a 12 week course
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Official repo of ππ£π©π§ππ£π¨ππ ππ€ππΌ: πΌ πππ£ππ§ππ‘ππ¨π© πΌπ₯π₯π§π€πππ ππ€π§ πΏππ¨ππ€π«ππ§ππ£π ππ£π€π¬π‘ππππ ππ£ πππ£ππ§ππ©ππ«π ππ€πππ‘π¨, which is previously titled (ππ¦π―π¦π³π’π΅πͺπ·π¦ ππ°π₯π¦ππ΄: ππ©π’π΅ π₯π° π΅π©π¦πΊ π¬π―π°πΈ? ππ° π΅π©π¦πΊ π¬π―π°πΈ π΅π©πͺπ―π¨π΄? ππ¦π΅'π΄ π§β¦
πͺβKnock Knock: Get notified when your training ends with only two additional lines of code
Turns Data and AI algorithms into production-ready web applications in no time.
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cβ¦
ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Official implementation of WΓΌrstchen: Efficient Pretraining of Text-to-Image Models
Transparent Image Layer Diffusion using Latent Transparency
A playbook for systematically maximizing the performance of deep learning models.
Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
Converts LaTeX tags to unicode: \mathcal{H} β β. Available on the web or as Automator script for the Mac.
A new markup-based typesetting system that is powerful and easy to learn.
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD)
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.