Stars
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A collaboration friendly studio for NeRFs
The official repository for "One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts"
Generate a comprehensive review from an arXiv paper, then turn it into a blog post. This project powers the website below for the HuggingFace's Daily Papers (https://huggingface.co/papers).
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
GUI/CommandLine Tool Box for biologistists to utilize NGS data.
A Zotero plugin for syncing items and notes into Notion
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
General technology for enabling AI capabilities w/ LLMs and MLLMs
Multi-Aspect Vision Language Pretraining - CVPR2024
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"
a collection of awesome autoregressive visual generation models
Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]
[CVPR 2023 Highlight] Perspective Fields for Single Image Camera Calibration
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data (NeurIPS 2023 Spotlight) / / / / When Does Perceptual Alignment Benefit Vision Representations? (NeurIPS 2024)
A middleware library and sample application for high-quality skin and eye rendering
[SIGGRAPH Asia 2024] PuzzleAvatar: Assembling 3D Avatars from Personal Albums
Recent weakly supervised semantic segmentation paper