127 Open source projects that are alternatives of or similar to FedLab-benchmarks

The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

AdaSpeech: Adaptive Text to Speech for Custom Voice

PyTorch implementation of EfficientNetV2 family

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

An open source deep learning platform that provides a seamless path from research prototyping to production deployment

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.

Semantics-guided Part Attention Network (ECCV 2020 Oral)

Federated Principal Component Analysis Revisited!

Federated posterior averaging implemented in JAX

Vision Transformer for 3D medical image registration (Pytorch).

Photometric optimization code for creating the FLAME texture space and other applications

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

Keyphrase Generation

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Metrics for model evaluation in pytorch

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Full stack service enabling decentralized machine learning on private data

FedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Previous Research Version is Accepted to NAACL 2022

Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.

Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

experimenting with differentiable models of morphogenesis 🔬 🦠

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Privacy Preserving Vertical Federated Learning

Substra is a framework for traceable ML orchestration on decentralized sensitive data.

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

VNet for 3d volume segmentation

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

Federated Learning on HyperLedger Aries

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Pytorch implementation of the Loc2Vec with some modifications for speed

Model-Contrastive Federated Learning (CVPR 2021)

The core runtime engine for Ambianic Edge devices.

Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".

tf implementation of federated learning

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

"Self-training with Noisy Student improves ImageNet classification" pytorch implementation

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Implementation of MelNet in PyTorch to generate high-fidelity audio samples

Official repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition

PyTorch implementation of "Pruning Filters For Efficient ConvNets"