R11happy

Machine-Learning-From-Scratch

常用机器学习的算法简洁实现

Xlearn

Transfer Learning Library

implicit_alignment

Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

pycaret

An open-source, low-code machine learning library in Python

class-incremental-learning

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

Just-Code

Just Code ! 针对面试训练算法题， 目前包括字节跳动面试题、 LeetCode 和剑指 offer ，持续扩容中 :star:

RAdam

On the Variance of the Adaptive Learning Rate and Beyond

pytorch-atda

A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation

side-tuning

sidetuning.berkeley.edu

google-research

Google Research

Tencent2020_Rank1st

The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.

Transfer-Learning-Library

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

FSL-DAPNA

Code for FSL model DAPNA

MetaOptNet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

CDAN

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

cycada_release

Code to accompany ICML 2018 paper

MCD_DA

few-shot-meta-baseline

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

Domain-Adaptation-Models

my implemented domain adaptation model using pytorch

DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

DAPN

A pytorch implementation of "Domain-Adaptive Few-Shot Learning"

Mixup_for_UDA

Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

cvprw2020-soft-pseudo-label-teaching

Soft Pseudo-Label Teaching for Cross-Domain Few-shot Learning (CD-FSL)

Meta-Fine-Tuning

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

TMHFS

A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning

MetaEmbedding

Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"

MetaPred

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)