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Starred repositories
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
codes for paper A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
🇨🇳 GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
Performance Software for Cyclists, Runners, Triathletes and Coaches
A minimalist Neovim plugin that auto pairs & closes brackets
Library of contextual bandits algorithms
Code for CRATE (Coding RAte reduction TransformEr).
Some useful collectors implements for Java 8.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Rich is a Python library for rich text and beautiful formatting in the terminal.
LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
A Baby Robot's Guide to Reinforcement Learning
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code for KDD'22 "Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank".
Unbiased Learning To Rank Algorithms (ULTRA)
A TensorFlow Implementation of the Transformer: Attention Is All You Need
SASRec: Self-Attentive Sequential Recommendation
RUCAIBox / CIKM2020-S3Rec
Forked from aHuiWang/CIKM2020-S3RecCode for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"