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A MNIST-like fashion product database. Benchmark 👇
An implementation of the DeepAnT model, a deep learning approach for unsupervised anomaly detection in time series data.
Papers on trustworthy anomaly detection
Contains Company Wise Questions sorted based on Frequency and all time
Python code for YouTube videos.
KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
(SIGGRAPH Asia 2024) This is the official PyTorch implementation of SIGGRAPH Asia 2024 paper: DrawingSpinUp: 3D Animation from Single Character Drawings
🌟 Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）
Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Aligning pretrained language models with instruction data generated by themselves.
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
This is the main repository of International Data Spaces Association on GitHub, where you can find general overview and useful information on IDS Landscape.
语音打卡社群维护的前端面试题库，包含不限于Vue面试题，React面试题，JS面试题，HTTP面试题，工程化面试题，CSS面试题，算法面试题，大厂面试题，高频面试题
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
[NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other models
美赛爬虫，2022美赛获奖证书爬虫，2023美赛获奖证书爬虫，2024美赛获奖证书爬虫
Retrieval-Augmented Theorem Provers for Lean
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
