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PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
📖 [译] 面向机器学习的特征工程
An index of algorithms for learning causality with data
A Collection of Variational Autoencoders (VAE) in PyTorch.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
Enhance Your English Writing for Science Research 写论文英语素材
Some Conferences' accepted paper lists (including AI, ML, Robotic)
A curated list of awesome knowledge graph tutorials, projects and communities.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Use Confident Learning to clean out noise labels in object detection dataset, based on mmdetection
[EMNLP 2022 Findings] Search to Pass Messages for Temporal Knowledge Graph Completion
Source code for "KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion"
A playbook for systematically maximizing the performance of deep learning models.
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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A Zotero add-on to retrive CNKI meta data. 一个简单的Zotero 插件，用于识别中文元数据
kgTransformer: pre-training for reasoning over complex KG queries (KDD 22)
Visual Studio Uninstallation sometimes can be unreliable and often leave out a lot of unwanted artifacts. Visual Studio Uninstaller is designed to thoroughly and reliably remove these unwanted arti…
[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition