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[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Janus-Series: Unified Multimodal Understanding and Generation Models
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Foundation Models for Genomics & Transcriptomics
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
🏃 The go-to single-cell Foundation Model
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources