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Starred repositories
Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Natural Language Processing Tutorial for Deep Learning Researchers
500 AI Machine learning Deep learning Computer vision NLP Projects with code
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
State-of-the-Art Text Embeddings
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Official Pytorch Implementation for “DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video”
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
DeepSeek-VL: Towards Real-World Vision-Language Understanding
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
[CVPR 2024] Official implementation of the paper "Visual In-context Learning"
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
Easily compute clip embeddings and build a clip retrieval system with them
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Mixture-of-Experts for Large Vision-Language Models
MiniSora: A community aims to explore the implementation path and future development direction of Sora.
A Gradio web UI for Large Language Models.
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
[ECCV 2024] Official code implementation of Vary: Scaling Up the Vision Vocabulary of Large Vision Language Models.
Open source code for AAAI 2023 Paper "BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning"
Tracking and collecting papers/projects/others related to Segment Anything.
Learning audio concepts from natural language supervision
Ongoing research training transformer models at scale