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Name: ChancyChan
Type: User
Bio: LeetlessCoder
Name: ChancyChan
Type: User
Bio: LeetlessCoder
整理AI相关领域的一些综述
Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria
A curated list of awesome work on causal inference, particularly in machine learning.
An index of algorithms for learning causality with data
A collection of some materials of knowledge graph question answering
A curated list of awesome quantum computing learning and developing resources.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Curated list of awesome papers and resources in quantum machine learning
List of datasets, codes, papers, and contests related to remote sensing change detection
Curated research at the intersection of causal inference and natural language processing.
Causal discovery for time series
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Uplift modeling and causal inference with machine learning algorithms
A Python library that helps data scientists to infer causation rather than observing correlation.
This is code of book "Learn Deep Learning with PyTorch"
疯狂java 讲义光盘代码
cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
Hands-on Deep Reinforcement Learning, published by Packt
Source code for deep symbolic optimization.
A paper list of object detection using deep learning.
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
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.
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Computations and statistics on manifolds with geometric structures.
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.