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National University of Singapore
- Singapore
- https://imethanlee.github.io/
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A JavaScript / TypeScript / Python / C# / PHP / Go cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
one-stop internship listing for sg undergrads/grads
Our goal is to develop a Python library tailored for big data projects, specifically designed for data collection purposes.
Label-free Node Classification on Graphs with Large Language Models (LLMS)
Python 3 package for easy integration with the API of capsolver captcha solving service to solver recaptcha, geetest and solve any other captchas. Capsolver.
Automated CAPTCHA solver for Python.
A unified Python API for CAPTCHA solving services.
🔑 Curated list of awesome captcha libraries and crack tools.
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
List of papers on ICLR 2024
Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, an…
Awesome Papers About Performing Prompting On Graphs
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
[ICML2023] Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, and Zhangyang Wang
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.
A curated list of adversarial attacks and defenses papers on graph-structured data.
AI chat and search for text, news, images and videos using the DuckDuckGo.com search engine.
[KDD'23] Learning Strong Graph Neural Networks with Weak Information
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).