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A curated (most recent) list of resources for Learning with Noisy Labels
Low-variance, unbiased, theoretically grounded and computationally efficient gradient for binary latent variable models, based on variable augmentation and antithetic sampling. ICLR 2019
Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder and reinforcement learning. ICML 2019
A curated list of resources for Learning with Noisy Labels
Awesome machine learning model compression research papers, tools, and learning material.
Reading list for research topics in multimodal machine learning
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
Google AI 2018 BERT pytorch implementation
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. [work in progress]
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
The Rust Programming Language
电子书收藏
🤓 Build your own (insert technology here)
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Python translation (and extension) of the Tetrad java code.
Simple and powerful ChatGPT-API-Server
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm预训练模型)
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
List of Computer Science courses with video lectures.
PyTorch dataset for CUB-200-2011
Simple image retrival on deep-fashion dataset with pytorch - A course project
Deep metric learning methods implemented in Chainer
PyTorch python project standard.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Roadmap to becoming a developer in 2022
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
Differentiable Unsupervised Feature Selection
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network.
我的大数据学习书单
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.