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Name: John
Type: User
Name: John
Type: User
Neural Architecture Search with Deep Neural Network and Monte Carlo Tree Search
Web interface for browsing, search and filtering recent arxiv submissions
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
A collection of research papers on decision, classification and regression trees with implementations.
Drawing Bayesian networks, graphical models and framework with LaTeX.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of neural architecture search (NAS) resources.
TensorFlow code and pre-trained models for BERT
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
CMA-ES written in ANSI C (yet fairly object-oriented)
Caffe: a fast open framework for deep learning.
An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification
Porting caffe to android platform
c MPI
A technical report on convolution arithmetic in the context of deep learning
Denoising Adversairal Autoencoders
Convolutional Neural Networks
Offline data-driven evolutionary optimization using selective surrogate ensembles
深度学习论文翻译,包括分类论文,检测论文等
Hands-on Deep Reinforcement Learning, published by Packt
A deep learning based AI bot for playing the football simulation game FIFA 18 (Windows platform)
A public python implementation of the DeepHyperNEAT system developed by Felix Sosa and Kenneth Stanley for evolving neural networks. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf
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15个章节,近20万字。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
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.