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Name: Xthyax
Type: User
Name: Xthyax
Type: User
Code for the book Art of Feature Engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
Dataset for classification, detection and prognostics of surface defects on ball screw drives
The author's officially unofficial PyTorch BigGAN implementation.
This repo is about the Classification models that I'm aware so far in Pytorch
A repository contain the scripts, notebooks that I run on Kaggle competitions
this repository will be mainly used for the capstone project.
Data science IBM course materials
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Deep Density-aware Count Regressor: a state-of-the-art method for crowd counting
A dataset of functional and defective solar cells extracted from EL images of solar modules
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
EdNet is the dataset of all student-system interactions collected over 2 years by Santa, a multi-platform AI tutoring service with more than 780K users in Korea available through Android, iOS and web.
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
Implementation of EfficientNet model. Keras and TensorFlow Keras.
A PyTorch implementation of EfficientNet
Free resources for learning data science
Must-read papers on graph neural networks (GNN)
A practice workplace from the book Grokking Algorithms by Aditya Bhargava
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.
The playground for the book (Learn Python the hard way - Zed A. Shaw)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A collection of resources to learn about MLOPs.
An NLP project about creating a FAQ bot helping people 'how to make passport' first time
Small project, run by on internet
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Rapid fuzzy string matching in Python using various string metrics
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.