Irony (VanChengkai)

VanChengkai

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Location:shenzhen,China

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Irony's repositories

CARLA-Paper

This repository includes some autonomous driving papers using the CARLA simulation environment.

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2020_CARLA_challenge

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

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AI-RecommenderSystem

该仓库尝试整理推荐系统领域的一些经典算法模型

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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awesome-fashion-ai

A repository to curate and summarise research papers related to fashion and e-commerce

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Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。

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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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brand_demo

Build brand promoting website demo

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carla-birdeye-view

Bird-eye's view for CARLA simulator

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CRSLab

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

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CRSPapers

Conversational Recommender System (CRS) paper list. 对话推荐系统论文列表

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DIP

DIP

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homework_fall2020

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

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Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

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LearningByCheating

Driving in CARLA using waypoint prediction and two-stage imitation learning

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librec

LibRec: A Leading Java Library for Recommender Systems, see

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lime

Lime: Explaining the predictions of any machine learning classifier

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moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

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My_Bibliography_for_Research_on_Autonomous_Driving

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

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NLP_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力

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recommenders

Best Practices on Recommendation Systems

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RecSys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

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Resonate

ReSonate: A framework for runtime risk assessment of autonomous cyber-physical systems

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RSPapers

Must-read papers on Recommender System.

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spleeter

Deezer source separation library including pretrained models.

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Tech_Aarticle

深度学习模型在各大公司实战落地细节解读:主要是通过阅读各种实战文章,梳理模型落地的工程细节,涉及到搜索/推荐/自然语言处理。

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