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Name: Yi Ren
Type: User
Location: beijing, China
Name: Yi Ren
Type: User
Location: beijing, China
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Uplift modeling and causal inference with machine learning algorithms
A flexible framework of neural networks for deep learning
ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
Tensorflow Code for Conditional Variational AutoEncoder
This is a Matlab replication of a conference paper 'Trajectory optimization of autonomous driving by differential dynamic programming'.
The implementation of DeBERTa
Deconfounded Recommendation for Alleviating Bias Amplification
Introduction to Deep Neural Networks with Keras and Tensorflow
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
A list of recent papers regarding deep reinforcement learning
TensorFlow implementation of Deep Reinforcement Learning papers
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Fast, Distributed Graph DB
The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
Sources for my PhD dissertation on the Raft consensus algorithm
A TensorFlow implementation of the Differentiable Neural Computer.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
(RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
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.