MikhailovichGlushkov

MikhailovichGlushkov's Stars

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k13853871

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.8k76572718

• mintisan/awesome-kan

  A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

  2.6k5413237

• SMILELab-FL/FedLab

  A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

  Language:Jupyter Notebook7381060127

• junkunyuan/Awesome-Domain-Generalization

  Awesome things about domain generalization, including papers, code, etc.

  3785141

• purvasingh96/AI-for-Trading

  📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

  Language:Jupyter Notebook33312092

• kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

  pytorch implementation for Contrastive Adaptation Network

  Language:Python32661858

• muditbhargava66/PyxLSTM

  Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.

  Language:Python26752721

• myscience/x-lstm

  Pytorch implementation of the xLSTM model by Beck et al. (2024)

  Language:Python1398515

• thuml/MDD

  Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

  Language:Python1314727

• wkzs111/phm-ieee-2012-data-challenge-dataset

  Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute

  1273093

• Congyuwang/AlphaNetV3

  Recurrent Neural Network for predicting Stock Returns

  Language:Python11351458

• thuml/Batch-Spectral-Penalization

  Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)

  Language:Python915317

• mohyunho/N-CMAPSS_DL

  N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)

  Language:Jupyter Notebook76519

• ermongroup/smile-mi-estimator

  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

  Language:Jupyter Notebook73518

• liyunsheng13/DRT

  Language:Python654109

• chaodreaming/Simple-LaTeX-OCR

  Large scale training of Latex formula recognition model, currently being organized and open source

  Language:Python43243

• lijin118/ATM

  Maximum Density Divergence for Domain Adaptation, TPAMI 2020, Code release, Cross-domain Adversarial Tight Match

  Language:Python433211

• mohamedr002/CADA

  This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.

  Language:Python42115

• eddardd/WBTransport

  This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic Adaptation" at ICASSP21 and "Wasserstein Barycenter for Multi-Source Domain Adaptation" in CVPR21

  Language:Python31235

• YingzhenLi/vae_renyi_divergence

  A tensorflow implementation of VAE training with Renyi divergence

  Language:Python31309

• TL-UESTC/WADA

  The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.

  Language:Python30031

• unikz22/Selective-transfer-learning-based-on-tensor-representation

  Language:Python28123

• floft/calda

  Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation

  Language:Python25105

• nv-tlabs/fDAL

  Language:Python14815

• TL-UESTC/Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-Adaption

  The implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.

  Language:Python14111

• sentaochen/Mixture-of-Joint-Distributions

  Pytorch code for the work "Multi-Source Domain Adaptation with Mixture of Joint Distributions" published in Pattern Recognition

  Language:Python5200

• copenlu/jensen-shannon-centroid

  A lightweight package to calculate the Jensen-Shannon Centroid of a set of categorical distributions

  Language:Python320

• jvbirrell/RenyiNeuralEstimation

  Neural-network estimation of Renyi divergences via two methods.

  Language:Python3

• cailk/AlphaGAN

  Utilizing Amari-Alpha Divergence to Stabilize the Training of Generative Adversarial Networks

  Language:Python1100