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100 Days of ML Coding
Abseil Common Libraries (C++)
😮 互联网 Java 工程师进阶知识完全扫盲
Open-source implementation of Google Vizier for hyper parameters tuning
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
基于Flask的项目审批系统(Bootstrap+Mysql)
基于form-generator,仿钉钉审批流程创建(表单创建/流程节点可视化配置/必填条件及校验)
Approvals service
Automatic architecture search and hyperparameter optimization for PyTorch
A curated list of awesome Machine Learning frameworks, libraries and software.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
大数据/数据挖掘/推荐系统/机器学习相关资源
BigDataPlatform:基于大数据、数据平台、微服务、机器学习、商城、自动化运维、DevOps、容器部署平台、数据平台采集、数据平台存储、数据平台计算、数据平台开发、数据平台应用搭建的大数据解决方案。
A playground to get familiar with Apache Calcite
Kernel for Kubeflow in Jupyter Notebook
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training
Common APIs and libraries shared by other Kubeflow operator repositories.
ClusterTech Parallel Filesystem
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews
Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Determined: Deep Learning Training Platform
Distributed KV Storage System based on Raft and RocksDB, can be use to store small files, like images.
Papers and blogs related to distributed deep learning
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
An Engine-Agnostic Deep Learning Framework in Java
DeepLearning Framework Performance Profiling Toolkit
Deep Learning Studio is a GUI based deep learning platform for designing, training and evaluating artificial neural networks without programming skills.
Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
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.