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The Source Code of DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
Official Implementation of "Psychologically Enhanced AI Agents"
Automatically Update Papers Daily using Github Actions
LuckMonkeys / arxiv-daily
Forked from Vincentqyw/cv-arxiv-daily🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)
Awesome Papers About Performing Prompting On Graphs
A service that allows Cursor to use Azure GPT-5 deployments.
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括335个大模型，覆盖chatgpt、gpt-5.2、o4-mini、谷歌gemini-3-pro、Claude-4.5、文心ERNIE-X1.1、ERNIE-5.0-Thinking、qwen3-max、百川、讯飞星火、商汤senseChat等商用模型， 以及kimi-k2、ernie4.5、minimax-M2、deepseek-…
A curated (most recent) list of resources for Learning with Noisy Labels
PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
A curated collection of resources, papers, and methods related to Community Detection in complex networks
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
My personal PyTorch framework for multivariate time series forecasting.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
[KDD 2024] Papers about deep learning in epidemic modeling.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Call for participation in the impact of LLM for scientific discovery
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…
Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"