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Applied Machine Learning Explainability Techniques, Published by Packt
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of resources for Learning with Noisy Labels
A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
DataComp: In search of the next generation of multimodal datasets
New Algorithms for Learning on Hypergraphs
A collection of various deep learning architectures, models, and tips
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge. https://arxiv.org/abs/2012.12975
Interpretable Machine Learning with Python, published by Packt
This repository is a collection of existing KGQA datasets in the form of the 🤗 huggingface datasets -> https://github.com/huggingface/datasets library, aiming to provide easy-to-use access to them.
Insightful Tutorials and Papers about Knowledge Graphs
Machine Learning algorithm implementations from scratch.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
NLP in Python with Deep Learning
Jupyter notebooks for the Natural Language Processing with Transformers book
Course code for PyTorch for Deep Learning with Python Bootcamp
Recent Transformer-based CV and related works.
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.