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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

class-imbalance-vqa

datascicomp

A collection of popular Data Science Competitions

deep-coref

deep-ed

Source code for the EMNLP'17 paper "Deep Joint Entity Disambiguation with Local Neural Attention", https://arxiv.org/abs/1704.04920

deeptype

Design, evolve, and train neural type systems.

denoiseet

Denoising methods for distantly-labeled entity typing data

densely-interactive-inference-network

Cleaned code for paper "Natural Language Inference over Interaction Space"

disco4textcat

Neural discourse structure for text categorization

diversefewshot_amazon

doccano

Open source text annotation tool for machine learning practitioner.

dureader

Baseline Systems of DuReader Dataset

e2e-coref

End-to-end Neural Coreference Resolution

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fgec

Updated code for abhipec/fnet

finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

fnet

Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings

gan-manifold-regularization

This is the code we used in our paper accepted at ICLR 2018

gitskills

gmnmt

groundhog

Library for implementing RNNs with Theano

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.

hatt-proto

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification