Research Papers
Showing 36 of 39 projects
A curated reading roadmap of foundational and state-of-the-art deep learning papers for newcomers and researchers.
A curated collection of papers and articles from companies sharing real-world data science and machine learning applications in production.
A curated list of awesome deep learning tutorials, projects, and communities.
A curated list of awesome deep learning tutorials, projects, and communities.
A curated list of the top 100 most cited deep learning papers from 2012-2016, serving as a foundational reading list.
A curated list of awesome TensorFlow experiments, libraries, projects, tutorials, and resources.
A curated list of deep learning resources for computer vision, including papers, courses, books, and software.
A curated list of deep learning resources for computer vision, including papers, courses, books, and software.
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 dedicated to reinforcement learning, including theory, applications, code, tutorials, and platforms.
A curated list of papers, code, and resources for object detection algorithms in computer vision.
A curated list of awesome neural radiance fields (NeRF) papers, implementations, and resources.
A curated list of research papers, datasets, and software projects for machine learning applied to source code (MLonCode).
A curated list of resources dedicated to recurrent neural networks (RNNs) and deep learning.
A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.
A curated collection of papers, code, and resources for domain adaptation in machine learning.
A curated collection of graph classification papers with reference implementations covering embedding, deep learning, kernels, and factorization.
A curated collection of graph classification papers with implementations covering embeddings, deep learning, kernels, and factorization.
A curated list of papers, software, and resources for 3D reconstruction from images, covering SLAM, SfM, and MVS.
A curated list of papers, datasets, and code for 3D point cloud analysis research, covering classification, segmentation, detection, and more.
A curated list of resources for action recognition, video understanding, object detection, and pose estimation in computer vision.
A curated list of 100 foundational and influential papers in natural language processing for students and researchers.
A curated collection of research papers and resources on Vision Transformers (ViT) for computer vision tasks.
A curated list of Generative AI tools, models, artworks, and educational resources.
A curated list of deep learning image classification papers and their code implementations since 2014.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
A curated list of research papers, datasets, and resources for anomaly detection in time-series, video, and image data.
A curated list of academic papers, datasets, and resources for image and video deblurring research.
A curated list of key papers and resources on implicit neural representations, a novel approach to parameterizing signals as continuous functions.
A curated list of network embedding techniques, including papers, implementations, and related resources for graph representation learning.
A curated collection of research papers on decision, classification, and regression trees with implementations from top ML conferences.
A curated list of community detection research papers with implementations.
A curated collection of papers, code, and resources on neural rendering techniques for computer vision and graphics.
A curated list of academic papers and resources for image and video inpainting techniques.
A curated list of cryptography papers, articles, tutorials, and howtos for engineers and non-cryptographers.
A curated collection of research papers and software for explainable graph machine learning and reasoning.
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