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Summary of machine learning papers

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Papers from top conferences and journals for event extraction in recent years

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A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

A collection of research papers categorized by real-world systems that enact them

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

Notes and Summaries on ML-related Research Papers (with optional implementations)

Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

Summaries of machine learning papers

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

阅读过的推荐系统论文的归类总结，持续更新中…

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

论文写作与资料分享

조별과제 때마다 "나무위키 꺼라."라고 말하시는게 피곤하신 여러분을 위해 만들어진 Browser Extension, 나무위키를 꺼 드립니다.

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

AAAI20 "CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning"

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

Easy user access control in Vue for better UX. Build on top of the browser-acl package.

免费分享区块链白皮书，涉及各门各派。内容均来自互联网，如果侵权，请联系删除。 区块链白皮书 weixin：mipengchong

SOLO: Segmenting Objects by Locations

Image Deblurring using Generative Adversarial Networks

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Graphical experiment builder for the social sciences

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List of articles related to deep learning applied to music

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InfiniteBoost: building infinite ensembles with gradient descent

Scalable Implementation of Deep CFR and Single Deep CFR

Code for the paper "Improved Techniques for Training GANs"

PaperKit is like Paper app of Facebook

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Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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Casbin as a Service (CaaS)

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middleware-acl Access Control Library RBAC casbin

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Data and software for building the ACL Anthology.

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A library of reinforcement learning components and agents

SEO python scraper to extract data from major searchengine result pages. Extract data like url, title, snippet, richsnippet and the type from searchresults for given keywords. Detect Ads or make automated screenshots. You can also fetch text content of urls provided in searchresults or by your own. It's usefull for SEO and business related research tasks.

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A repository of state-of-the-art deep learning methods in computer vision

Awesome Research Papers

(ACM MM 20 Oral) PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music

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