Lists
52 projects
A curated list of awesome machine learning frameworks, libraries, and software organized by programming language.
A curated list of deep learning resources for computer vision, including papers, courses, books, and software.
A curated collection of papers, code, and resources for domain adaptation in machine learning.
A curated list of papers, code, and resources for object detection algorithms in computer vision.
A curated repository of resources, datasets, and research papers for 3D machine learning, covering computer vision, graphics, and deep learning.
A curated list of resources for action recognition, video understanding, object detection, and pose estimation in computer vision.
A curated list of research papers and resources for scene understanding in computer vision, covering 3D reconstruction, layout estimation, and primitive detection.
A curated list of resources for adversarial machine learning, covering attacks, defenses, and research.
A curated collection of resources on adversarial examples in deep learning, covering attacks, defenses, and applications.
A curated list of face-related algorithms, datasets, papers, and open-source libraries for computer vision research.
A curated collection of academic papers covering all aspects of face analysis, including detection, recognition, alignment, generation, and anti-spoofing.
A curated list of open-source software tools for medical imaging research, including segmentation, visualization, and deep learning libraries.
A curated list of free stock photo resources for developers and designers.
A curated collection of computer graphics tutorials, papers, and resources covering rendering, simulation, and visualization.
A curated list of awesome neural radiance fields (NeRF) papers, implementations, and resources.
A curated list of key papers and resources on implicit neural representations, a novel approach to parameterizing signals as continuous functions.
A curated collection of papers, code, and resources on neural rendering techniques for computer vision and graphics.
A curated list of open-source and commercial tools for labeling and managing datasets across images, audio, time series, and text.
A curated collection of robotics and computer vision datasets for research and development.
A curated collection of research papers, books, courses, and Python libraries for explainable AI (XAI) and machine learning interpretability.
A curated list of resources for understanding, measuring, and mitigating fairness issues in artificial intelligence and machine learning systems.
A curated list of practical resources for responsible machine learning, covering interpretability, governance, safety, and ethics.
A curated list of awesome open-source libraries for deploying, monitoring, versioning, and scaling production machine learning systems.
A curated list of deep learning resources for video-text retrieval, including papers, implementations, and datasets.
A curated collection of resources, papers, and frameworks for image-to-image translation research and applications.
A curated list of academic papers and resources for image and video inpainting techniques.
A curated list of deep learning research papers and implementations for high dynamic range image and video synthesis.
A curated list of 257+ research papers on video generation, representation learning, and related topics like reinforcement learning.
A curated list of awesome Generative Adversarial Network (GAN) applications and demonstrations across various domains.
A curated archive of research papers and resources on generative modeling, covering GANs, image synthesis, 3D generation, and applications.
A curated list of deep learning image classification papers and their code implementations since 2014.
A curated list of awesome deep learning tutorials, projects, and communities.
A curated collection of resources for applying machine learning to biomedical and healthcare imaging applications.
A curated collection of papers, datasets, and resources for 2D/3D human pose estimation, mesh representation, and related computer vision tasks.
A curated collection of papers, code, and datasets for deep learning and multimodal learning in video analysis.
A curated list of recent research papers and resources on Vision and Language Pre-trained Models (VL-PTMs).
A curated list of robotics resources including courses, books, software, conferences, journals, competitions, and companies.
A curated collection of research papers and resources on Vision Transformers (ViT) for computer vision tasks.
A curated reading list of papers, datasets, and simulators for embodied vision research, covering navigation, interaction, and reasoning.
A curated list of research papers, datasets, and resources for anomaly detection in time-series, video, and image data.
A curated list of resources for makeup and hairstyle transfer research using computer vision and generative AI.
A curated collection of academic papers, code, and resources for learning with noisy labels in machine learning.
A curated list of academic papers, datasets, and resources for image and video deblurring research.
A curated list of deep learning resources for 3D shape processing, covering classification, reconstruction, and generation.
A curated list of academic papers, datasets, and code for correcting rolling shutter effects, radial distortions, and text distortions in images and videos.
A curated list of academic papers, datasets, and metrics for 3D neurite segmentation in electron microscopy connectomics.
A curated collection of academic papers, datasets, and metrics for topology-aware delineation in computer vision and medical imaging.
A curated list of academic resources, datasets, and implementations for image harmonization research.
A curated collection of resources, papers, and implementations for training Generative Adversarial Networks (GANs).
A curated list of resources for Document Understanding (DU), covering research, datasets, tools, and applications in Intelligent Document Processing.