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allenpu's Projects

fedlearner icon fedlearner

A multi-party collaborative machine learning framework

fedml icon fedml

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)

fscil icon fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

fucking-algorithm icon fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

generalization-causality icon generalization-causality

关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记

gradnorm-pytorch icon gradnorm-pytorch

A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch

imbalanced-ssl icon imbalanced-ssl

Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"

jocor icon jocor

CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

key-book icon key-book

《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/

l2p icon l2p

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

lora icon lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

m-ada icon m-ada

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

mate icon mate

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.

megatron-lm icon megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

meta-weight-net icon meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

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