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关于2019和2018年的一些东西
This repo contains annotated research papers that I found really good and useful
NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
中文整理的强化学习资料(Reinforcement Learning)
The 3rd edition of course.fast.ai
Solutions for Stanford CS224n, winter, 2019
Deep Learning with Positive and Unlabeled samples
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,近30万字。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
Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practical docker environment.
Duke-Tsinghua Machine Learning Summer School 2017
This repository contains code for generating new faces using GANs. For this i have taken CelebA Dataset.
The fastai deep learning library, plus lessons and and tutorials
This is the code for the "How to Use Tensorboard" live session by Siraj Raval on Youtube
Simple implementation of Variational Autoencoder
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
A PyTorch Library for Meta-learning Research
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
The code for maddpg using pytorch
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
A simple, easy to use MNIST loader written in Python 3
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Create delightful python projects using Jupyter Notebooks
A demo to note the import code sinpets, and also functions simply.
This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
Course notes
Repository for the One class neural networks paper
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.