Lists (17)
Stars
Solar flare forecaster application based on transformer models
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation, Neurips 2025
[ESWA 2025] Denoise yourself: Self-supervised point cloud upsampling with pretrained denoising, Expert Systems with Applications
Kronos: A Foundation Model for the Language of Financial Markets
[IJCAI'25] Official PyTorch Implementation of "Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain" (AGF)
Code for the paper "Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in non-equilibrium systems".
About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral)
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
A TabPFN-based Time Series forecasting method leveraging the intrinsic Periodicity of data (work accepted at ICML 2025 FMSD workshop)
[TMLR 2025] A general framework for bridging LLMs and recommendation systems via reinforcement learning. https://arxiv.org/pdf/2503.24289
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
A Simple and Scalable Representation for Graph Generation (ICLR 2024)
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Collection of scripts and notebooks for OpenAI's latest GPT OSS models
GRID: Generative Recommendation with Semantic IDs
Material for the course of "Mathematics of Transformer"
A collection of graph foundation models including papers, codes, and datasets.
Ensemble-based, size-agnostic wrapper for the TabPFN classifier
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
[ICLR'25] "Understanding Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing" by Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li