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Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis (ECCV 2024 Oral) - Official Implementation
A highly efficient implementation of Gaussian Processes in PyTorch
Dataset for "Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark"
Cross-platform, customizable ML solutions for live and streaming media.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Enhancing End-to-End Autonomous Driving with Latent World Model
An minimalist Hugo theme for Academics
the AI-native open-source embedding database
A curated list of reinforcement learning with human feedback resources (continually updated)
[CVPR 2024] iKUN: Speak to Trackers without Retraining
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
PyTorch code and models for the DINOv2 self-supervised learning method.
A list of resources to start working with Jetson Nano Nvidia
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Examples and guides for using the OpenAI API
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling