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Roadmap to becoming an Artificial Intelligence Expert in 2022
An annotated implementation of the Transformer paper.
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
The most cited deep learning papers
A curated list of deep learning resources for computer vision
A collection of papers of neural-symbolic AI (mainly focus on NLP applications)
Awesome List of Mixup Augmentation Papers for Visual Representation Learning
A curated list of awesome self-supervised methods
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Collect super-resolution related papers, data, repositories
A curated list of resources dedicated to text summarization
A Chrome extension to generate summaries and comments on selected text using OpenAI API, built with the help of ChatGPT.
Web Application where people new to Deep Learning can input a dataset and toy around with basic Pytorch modules without writing any code
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Course with a roadmap and notebooks to get into Large Language Models (LLMs).
Long Document Summarization Papers
a simple pytorch implement of Multi-Sample Dropout
A simple RoadMap to Natural Language Processing(NLP)
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Data Generation for Neural Network Playground of Deep Insider.
Latex code for making neural networks diagrams
All Algorithms implemented in Python
PyTorch implementations of Generative Adversarial Networks.
Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions
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.