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List of Data Science Cheatsheets to rule the world
This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
A memory-efficient implementation of DenseNets
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Pytorch implementation of various Attention Mechanism
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
The fastai deep learning library, plus lessons and tutorials
Style transfer, deep learning, feature transform
An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Gluon CV Toolkit
Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks
Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"
A ResBlock Library using various High Order Numerical Schemes
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
It is my belief that you the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
Source code for AAAI subimssion #3463.
11th place solution for APTOS 2019 Blindness Detection on Kaggle (https://www.kaggle.com/c/aptos2019-blindness-detection).
Implementation of (2018) Neural Ordinary Differential Equations in Keras
Connect the original software to the database, and then directly add label to the image after installing the software.
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
以撸代码的形式学习Python
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.