Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

《动手学大模型Dive into LLMs》系列编程实践教程

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

O1 Replication Journey

Interpretable graph classifications using Graph Convolutional Neural Network

Uplift modeling and causal inference with machine learning algorithms

RIM: Reliable Influence-based Active Learning on Graphs (NeurIPS'21 Spotlight)

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

An implementation of the supervised random walks with restarts algorithm proposed by Jure Leskovec and Lars Backstorm

Large scale graph learning on a single machine.

Official Implementation for "Scaling Attributed Network Embedding to Massive Graphs"

[ICRA 2019] Propagation Networks for Model-based Control Under Partial Observation

Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"

Explaining Inference Queries with Bayesian Optimization

🏅 Collection of Kaggle Solutions and Ideas 🏅

The implementation of paper "Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks"

My approach to CS224w [AT] Stanford 2019 : )

Stock price prediction with Bert

Improving the Speed and Quality of GAN by Adversarial Training

Python package built to ease deep learning on graph, on top of existing DL frameworks.