CharmsGraker

CharmsGraker's Stars

• ychen93/Chinese-Painting-Dataset

  Dataset for CS231N project

  304

• OxWearables/capture24

  Capture24: Human activity recognition with activity trackers

  Language:Jupyter Notebook206

• BramSW/Extending_SSRL_Across_Domains

  Implementation of paper: Extending and Analyzing Self-Supervised Learning Across Domains

  Language:Python10

• plai-group/simple-cnaps

  Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

  Language:Python5515

• kaize0409/awesome-few-shot-gnn

  An index of algorithms for few-shot learning/meta-learning on graphs

  14117

• ServiceNow/TADAM

  The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a ServiceNow Research project that was started at Element AI.

  Language:Jupyter Notebook10624

• VICO-UoE/URL

  Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

  Language:Python12617

• zevergreenz/model_fusion_for_personalized_learning

  Language:Python32

• dapowan/LIMU-BERT-Public

  A lite BERT-like representation model for IMU sensor data

  Language:Python8827

• Limmen/Distributed_ML

  Distributed Machine Learning

  Language:Python71

• noahgolmant/pytorch-hessian-eigenthings

  Efficient PyTorch Hessian eigendecomposition tools!

  Language:Python36043

• google/spectral-density

  Hessian spectral density estimation in TF and Jax

  Language:Python11529

• amirgholami/PyHessian

  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

  Language:Jupyter Notebook684118

• sshan-zhao/DG_via_ER

  Domain Generalization via Entropy Regularization, NeurIPS'20

  Language:Python637

• facebookresearch/audio2photoreal

  Code and dataset for photorealistic Codec Avatars driven from audio

  Language:Python2.7k254

• val-iisc/Saddle-LongTail

  [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"

  Language:Python223

• ricvolpi/generalize-unseen-domains

  Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018

  Language:Python12122

• DeMoriarty/fast_pytorch_kmeans

  This is a pytorch implementation of k-means clustering algorithm

  Language:Python28438

• facebookresearch/higher

  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

  Language:Python1.6k123

• lingeringlight/DomainDrop

  The official implementation for DomainDrop (ICCV 2023).

  Language:Python433

• zwvews/LADG

  code for our paper localized adversarial domain generalization

  Language:Python123

• biomedia-mira/masf

  Domain Generalization via Model-Agnostic Learning of Semantic Features

  Language:Python14618

• KaiyangZhou/mixstyle-release

  Domain Generalization with MixStyle (ICLR'21)

  Language:Python27138

• XDzzzzzZyq/ae-plugins-dev

  Quad-tree based postprocessing family plugins for Adobe After Effects

  Language:C11

• mxl1990/tsne-pytorch

  Pytorch implementation for t-SNE with cuda to accelerate

  Language:Python32460

• DmitryUlyanov/Multicore-TSNE

  Parallel t-SNE implementation with Python and Torch wrappers.

  Language:C++1.9k228

• Hangwei12358/cross-person-HAR

  Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".

  Language:Python3411

• cynricfu/multi-band-blending

  A Python implementation of multi-band blending.

  Language:Python476

• LFhase/FeAT

  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization

  Language:Python241

• liyiying/Feature_Critic

  Feature-Critic Networks for Heterogeneous Domain Generalisation

  Language:Python5111