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A multi-party collaborative machine learning framework
A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)
Frustum PointNets for 3D Object Detection from RGB-D Data
阅读代码笔记
Official repository for Few-Shot Class-Incremental Learning (FSCIL)
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch
Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
Everything you need to know to get the job.
CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。在线阅读地址:https://datawhalechina.github.io/key-book/
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
Regularized Learning under label shifts
Code for paper "Learning to Reweight Examples for Robust Deep Learning"
《统计学习方法》的代码实现
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)
My blogs and code for machine learning. http://cnblogs.com/pinard
the Pytorch implement of M. Ghifary, W. B. Kleijn, M. Zhang, D. Balduzzi. Domain Generalization for Object Recognition with Multi-task Autoencoders, accepted in International Conference on Computer Vision (ICCV 2015), Santiago, Chile.
Ongoing research training transformer language models at scale, including: BERT & GPT-2
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
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.