Reference implementation for DPO (Direct Preference Optimization)

Commented (but unaltered) version of original word2vec C implementation.

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

联邦学习

Deep learning software to decode EEG, ECG or MEG signals

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

A list of papers for motor imagery using machine learning/deep learning.

Pytorch implementation of EEGNet.

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and …

Model-Contrastive Federated Learning (CVPR 2021)

Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"

Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]

[NeurIPS'19] Deep Equilibrium Models

[AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients

An easy-to-use federated learning platform

Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)

PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).

Master Federated Learning in 2 Hours—Run It on Your PC!

[NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition

Implementation of Universal Transformer in Pytorch

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Federated Optimization in Heterogeneous Networks (MLSys '20)

Leaf: A Benchmark for Federated Settings

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