Pinned Repositories
AlgoNotes
公众号【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
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
AliceMind
allennlp
An open-source NLP research library, built on PyTorch.
Alpaca-CoT
We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data, and integrating more LLMs together for easy use. （我们将CoT数据扩展到Alpaca以提高其推理能力，同时我们将不断收集更多的instruction-tuning数据集,并在我们框架下集成进更多的LLM，打造一个通用的LLM-IFT平台。）
apl
Open source implementation of Adaptive Posterior Learning (ICLR 2019)
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
choicenet
Implementation of ChoiceNet
NFETC-CLSC
Tensorflow implementation of NFETC-CLSC
TexasSolver
🚀 A very efficient Texas Holdem GTO solver :spades::hearts::clubs::diamonds:
herbertchen1's Repositories
herbertchen1/NFETC-CLSC
Tensorflow implementation of NFETC-CLSC
herbertchen1/Alpaca-CoT
We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data, and integrating more LLMs together for easy use. （我们将CoT数据扩展到Alpaca以提高其推理能力，同时我们将不断收集更多的instruction-tuning数据集,并在我们框架下集成进更多的LLM，打造一个通用的LLM-IFT平台。）
herbertchen1/TexasSolver
🚀 A very efficient Texas Holdem GTO solver :spades::hearts::clubs::diamonds:
herbertchen1/AlgoNotes
公众号【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
herbertchen1/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
herbertchen1/AliceMind
herbertchen1/apl
Open source implementation of Adaptive Posterior Learning (ICLR 2019)
herbertchen1/class-imbalance-VQA
herbertchen1/DenoiseET
Denoising methods for distantly-labeled entity typing data
herbertchen1/DiverseFewShot_Amazon
herbertchen1/doccano
Open source text annotation tool for machine learning practitioner.
herbertchen1/GMNMT
herbertchen1/hangzhou_house_knowledge
2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
herbertchen1/HATT-Proto
Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
herbertchen1/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
herbertchen1/Information-Extraction-Chinese
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
herbertchen1/langchain
⚡ Building applications with LLMs through composability ⚡
herbertchen1/Lr-LiVAE
Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)
herbertchen1/machine_learning_beginner
机器学习初学者公众号作品
herbertchen1/Masking
NeurIPS'18: Masking: A New Perspective of Noisy Supervision
herbertchen1/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
herbertchen1/nevergrad
A Python toolbox for performing gradient-free optimization
herbertchen1/Planning-based-Hierarchical-Variational-Model
Dataset and code for EMNLP 2019
herbertchen1/Review-Response-Generation
Code for THE WEB CONFERENCE 2019 paper "Review Response Generation in E-Commerce Platforms with External Product Information"
herbertchen1/ssl_compact_clustering
Semi-supervised learning via Compact Latent Space Clustering
herbertchen1/stopwords
中文常用停用词表（哈工大停用词表、百度停用词表等）
herbertchen1/TapNet
Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
herbertchen1/text-dedup
All-in-one text de-duplication
herbertchen1/TPN
Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
herbertchen1/ZeroShotCapsule
Code for Paper "Zero-shot User Intent Detection via Capsule Neural Networks".