Erosinho13

Erosinho13's Stars

• YyzHarry/SubpopBench

  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

  Language:Python9812

• rwightman/efficientnet-jax

  EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

  Language:Python12714

• andreaprotopapa/cheatsheets

  Repo for guides publicly available

  51

• M2Lschool/tutorials2023

  Language:Jupyter Notebook4212

• truethari/reactfolio

  Reactfolio is a sleek and responsive personal portfolio template built using React, perfect for showcasing your work and skills in a professional manner.

  Language:JavaScript331242

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.9k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.1k4.8k

• abarcel/haikumodels

  Pretrained models for Jax/Haiku; MobileNet, ResNet, VGG, Xception.

  Language:Python23

• Erosinho13/MLDL23-FL-project

  Starting code for the Federated Learning project of the Politecnico di Torino Machine Learning and Deep Learning 2023 course

  Language:Python310

• c-gabri/Federated-Learning-PyTorch

  PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are provided

  Language:Python6614

• Erosinho13/FedDrive

  Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving

  Language:Python396

• RickZack/EPIC-KITCHENS-100_UDA_TA3N

  Language:Python2

• RickZack/FedSeq

  Official PyTorch implementation of "Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients", accepted at ICPR 2022

  Language:Python151

• FrancescoCappio/Contrastive_Open_World

  Language:Python192

• FrancescoCappio/OSHOT-meta-learning

  Official implementation of https://arxiv.org/abs/2106.03496

  Language:Python15

• FrancescoCappio/ReSeND

  Official implementation of paper "Semantic Novelty Detection via Relational Reasoning"

  Language:Python15

• Erosinho13/LADD

  Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning

  Language:Python338

• idiap/model-uncertainty-for-adaptation

  Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021

  Language:Python499

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.3k3.4k

• uhlerlab/cross-modal-autoencoders

  Language:Python549

• fcdl94/MiB

  Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

  Language:Python16644