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Easily create a beautiful website using Academic and Hugo
A curated (most recent) list of resources for Learning with Noisy Labels
:alarm_clock: AI conference deadline countdowns
A beautiful, simple, clean, and responsive Jekyll theme for academics
:computer: Data Structures and Algorithms in Python
A comprehensive list of awesome contrastive self-supervised learning papers.
A curated list of resources for Learning with Noisy Labels
A curated list of awesome responsible machine learning resources.
A Survey
A curated list of awesome self-supervised methods
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like architectures. Compatible with the HuggingFace Transformers models.
A collection of materials on causal inference.
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
Code for paper "Label Noise Types and Their Effects on Learning"
Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.
Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.
This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.
Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Segmentation vasculature in retinal image
Official code repository for ICLR 2022 WS OSC Paper.
A list of helpful full-stack developer related questions you can use to interview potential candidates, test yourself or completely ignore.
Grokking the Coding Interview: Patterns for Coding Questions Alternative
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.