Stars
Code to reproduce results from the paper https://arxiv.org/abs/2503.21708
utilities for decoding deep representations (like sentence embeddings) back to text
A Library for Advanced Deep Time Series Models.
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Curated research at the intersection of causal inference and natural language processing.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.
Official repository of Evolutionary Optimization of Model Merging Recipes
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…
A Python package for causal inference in quasi-experimental settings
Use Gibbs sampling to predict movie ratings for users
KLUE 데이터를 활용한 HuggingFace Transformers 튜토리얼