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The official implementation of the paper "AgentSquare: Automatic LLM Agent Search in Modular Design Space""
Using GPT to organize and access information, and generate questions. Long term goal is to make an agent-like research assistant.
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" https://arxiv.org/abs/2112.08810
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
📊 More styles and useful extensions for Matplotlib
A curated list of papers, code and resources pertaining to image composition/compositing or object insertion/addition/compositing, which aims to generate realistic composite image.
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
Convert images of LaTex math equations into LaTex code.
A curated list of awesome Fairness in AI resources
Now we have become very big, Different from the original idea. Collect premium software in various categories.
Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰，旨在安全快捷的帮助用户拿回自己的数据，工具代码开源，流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、中国移动、中国联通、中国电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客…
pytorch maml with Multi-GPUs, fast and simplest implementation
A comprehensive collection of recent papers on graph deep learning
🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
Graph Neural Network based Social Recommendation Model. SIGIR2019.
A Hierarchical Attention Model for Social Contextual Image Recommendation, TKDE2019
scalable active learning by approximated error reduction
Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization
PRML algorithms implemented in Python