sherlockyyc

sherlockyyc's Stars

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k2.3k85623.2k

• halo-dev/halo

  强大易用的开源建站工具。

  Language:Java34.1k4814.1k9.7k

• PaddlePaddle/Paddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

  Language:C++22.3k71618.4k5.6k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook16.1k385394.6k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k600183k

• shenweichen/DeepCTR

  Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

  Language:Python7.6k1783702.2k

• NiuTrans/MTBook

  《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

  Language:TeX2.7k18146760

• Doragd/Algorithm-Practice-in-Industry

  搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

  Language:Python2.6k6058316

• shenweichen/DeepMatch

  A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

  Language:Python2.2k5075534

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k19146352

• shenweichen/AlgoNotes

  【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

  1.6k310225

• bat67/awesome-algorithm-books

  📚 awesome algorithm books I've collected 【不定期更新】 搜集整理的算法书籍（经典算法、ML/DL算法、面试算法、比赛算法等）

  800393281

• FreedomIntelligence/TextClassificationBenchmark

  A Benchmark of Text Classification in PyTorch

  Language:Python6013225138

• yaodongyu/TRADES

  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

  Language:Python5221028124

• nmrksic/counter-fitting

  Counter-fitting Word Vectors to Linguistic Constraints

  Language:Python14413728

• YisenWang/MART

  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

  Language:Python1442914

• facebookresearch/text-adversarial-attack

  Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"

  Language:Python999812

• RishabhMaheshwary/hard-label-attack

  Natural Language Attacks in a Hard Label Black Box Setting.

  Language:Python431211

• BorealisAI/mma_training

  Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

  Language:Python3410011

• fra31/fab-attack

  Code for FAB-attack

  Language:Python32228

• RockyLzy/TextDefender

  codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"

  Language:Python31162

• wangleiofficial/label-smoothing-pytorch

  label smoothing PyTorch implementation

  Language:Python301011

• dongxinshuai/ASCC

  Language:Python23223

• thunlp/MixADA

  Language:Python19913

• dugu9sword/dne

  ACL 2021 - Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble

  Language:Python15332

• xiangrongjingujiu/Chinese-Resume-Template

  中文简历模板，可添加照片，详细注释

  Language:TeX14105

• qinliu9/Flooding-X

  Language:Python13120

• yaodongyu/BiasVariance-AdversarialTraining

  Language:Python7502

• JHL-HUST/FTML

  Robust Textual Embedding against Word-level Adversarial Attacks

  Language:Python5201

• JHL-HUST/EIBC-IBP

  Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions

  Language:Python2101