DeepSeek-VL: Towards Real-World Vision-Language Understanding

Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

Use PEFT or Full-parameter to finetune 450+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek-R1, ...) and 150+ MLLMs (Qwen2.5-VL, Qwen2-Audio, Llama3.2-Vision, Llava, I…

Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Tr…

[ICLR2024] FTIC: Frequency-aware Transformer for Learned Image Compression

Survival analysis with PyTorch

A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations

Standardized benchmark for computational pathology foundation models.

Toolkit for large-scale whole-slide image processing.

Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

AI Toolkit for Healthcare Imaging

Awesome lists about framework figures in papers

List of pathology feature extractors and foundation models

An easy-to-use PyTorch library for Pathology Image ANalysis Orchestrator (PIANO), including generating patches from whole slide images, using pathology foundation models to create features, and so on.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Janus-Series: Unified Multimodal Understanding and Generation Models

The official implementation of Tensor ProducT ATTenTion Transformer (T6)

[Preprint] ConvMLP: Hierarchical Convolutional MLPs for Vision, 2021

Foundation Architecture for (M)LLMs

Stain normalization tools for histological analysis and computational pathology

Ethereal Style for Zotero

Clean, minimal, accessible reproduction of DeepSeek R1-Zero

⚡ Flash Diffusion ⚡: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation (AAAI 2025 Oral)

[ICLR 2025] LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation

Mixture-of-Experts for Large Vision-Language Models

[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.