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Name: David Snowden
Type: User
Bio: My name is David Snowden. I am a college student and I enjoy designing and coding
Name: David Snowden
Type: User
Bio: My name is David Snowden. I am a college student and I enjoy designing and coding
The code of AAAI18 paper "Learning Structured Representation for Text Classification via Reinforcement Learning".
Pytorch codes for Regularized Fine-grained Meta Face Anti-spoofing in AAAI 2020
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Anomaly detection related books, papers, videos, and toolboxes
Pretty and useful exceptions in Python, automatically.
2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
The basic distribution probability Tutorial for Deep Learning Researchers
Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
graph wavenet
Intro to Reinforcement Learning (强化学习纲要)
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
《统计学习方法》的代码实现
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Deployment scripts & config for Sock Shop
OpenMMLab Detection Toolbox and Benchmark
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
PyTorch Tutorial for Deep Learning Researchers
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
A unified, comprehensive and efficient recommendation library
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.