AllenPu

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

AdaLoRA

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

basicDatastructure

imbalanced-contrastive-ordinary-regression

java-for-single-pass

Mix-DIR

Someleetcode

Sparkproject2

analysis the data in the user_artists data and internet log

springmvcstartup

stockanalysis

AllenPu/aequitas

Bias and Fairness Audit Toolkit

AllenPu/AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

AllenPu/Awesome-Few-Shot-Image-Generation

A curated list of papers, code and resources pertaining to few-shot image generation

AllenPu/Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

AllenPu/awesome-pretrained-models-for-information-retrieval

A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

AllenPu/Awesome-Weak-Shot-Learning

AllenPu/dataloader

AllenPu/DeepLearning-1

AllenPu/DomainBed

DomainBed is a suite to test domain generalization algorithms

AllenPu/DRL

Deep Reinforcement Learning

AllenPu/fairlearn

A Python package to assess and improve fairness of machine learning models.

AllenPu/fairness-in-ml

This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

AllenPu/fairness_mu_da

AllenPu/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)

AllenPu/mbdg

AllenPu/Megatron-LM

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

AllenPu/meta-weight-net

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

AllenPu/Meta-Weight-Net_Code-Optimization

A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

AllenPu/ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

AllenPu/MLNT_revise

AllenPu/MUNIT

Multimodal Unsupervised Image-to-Image Translation

AllenPu/nlp-beginner

NLP上手教程

AllenPu/Prompt-Tuning

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

AllenPu/prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

AllenPu/pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

AllenPu/self-ensemble-visual-domain-adapt-photo

Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'

AllenPu/SimTrans-Weak-Shot-Classification

[NeurIPS 2021] The first weak-shot classification paper.

AllenPu/Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

AllenPu/wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

AllenPu/XDEnsembles

Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]