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Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
[ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Adapting Segment Anything Model for Medical Image Segmentation
Segment Anything in Medical Images
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
CVPR'24, Official Codebase of our Paper: "Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation".
Zero Bubble Pipeline Parallelism implemented on Megatron-Deepspeed
⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.
互联网仍有记忆!那些曾经在校招过程中毁过口头offer、意向书、三方的公司!纵然人微言轻,也想尽绵薄之力!
Robust recipes to align language models with human and AI preferences
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的可商用开源多模态对话模型
😎 Awesome lists about all kinds of interesting topics
Awesome-LLM: a curated list of Large Language Model
A framework for few-shot evaluation of language models.
[ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)