allensmile Goto Github PK
Name: Allen
Type: User
Bio: Learn something new every day!
Location: Shang hai
Name: Allen
Type: User
Bio: Learn something new every day!
Location: Shang hai
code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
An open source re-implementation of Diablo 2
An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统,一键部署微信闲聊机器人)
CAD and code for each episode of my open source dog series
Extend cloud computing, data and service seamlessly to edge devices.
An open HD map production process for autonomous car simulation
Python Package for OpenHowNet
An Open-Source Package for Knowledge Embedding (KE)
Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural model with key phrase extraction on open domains we have created OpenKP: a dataset of over 150,000 documents with the most relevant keyphrases generated by expert annotation.
OpenKS - 领域可泛化的知识学习与计算引擎
《机器学习系统:设计与实现》
OpenMMLab course index and materials
Neural machine translation and sequence learning using TensorFlow
Neural Relation Extraction implemented in TensorFlow
仙三开源版 - The efforts to create an open-source implementation of Chinese Paladin 3
open source driving agent
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
东南大学多模态知识图谱-OpenRichpedia
REST web service for the true real-time scoring (<1 ms) of R, Scikit-Learn and Apache Spark models
Self-Supervised Learning Toolbox and Benchmark
【编程随想】收藏的开源项目清单
FREE university courses in ML from Top Universities in CS
A lightweight, scalable, and general framework for visual question ansering (VQA) research
A Versatile Visual SLAM Framework
自动化运维平台: 代码及应用部署CI/CD、资产管理CMDB、计划任务管理平台、SQL审核|回滚、任务调度、站内WIKI
最优化领域
优化技术
EPFL Course - Optimization for Machine Learning - CS-439
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.