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Name: MA LEI
Type: User
Name: MA LEI
Type: User
A curated (most recent) list of resources for Learning with Noisy Labels
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
Code for the paper "Are Sixteen Heads Really Better than One?"
A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.
A curated list of resources for Learning with Noisy Labels
技术书籍
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube
Repository for Content-Aware Transformer
An overview of Complex Event Processing Systems
Complex Event Trend Detection over High-Rate Event Streams
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Data-efficient Training of Machine Learning Models
[NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
This is outdated -- New version: https://github.com/boyangumn/DCN-New
Repository for the Deep One-Class Classification ICML 2018 paper
Pytorch Implementation of DeepLog.
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models
DSPy: The framework for programming—not prompting—foundation models
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network
The code for our ICLR 2024 paper: "Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs"
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.