WilliamYi96

Awesome-Zero-Shot-Learning

Latest progresses (papers & datasets) of zero-shot learning.

HGR-Net

Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV 2022.

awesome-continual-zero-shot-learning

A curated list of resources on continual zero-shot learning

Machine-Learning

A brief summary of machine learning studies.

homepage-old

Awesome-Energy-Based-Models

A curated list of resources on energy-based models.

CIZSL

Creativity Inspired Zero-Shot Learning

Scafflix

Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. arXiv, 2023

williamyi96.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

VR-ProxSkip

Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning. NeurIPS, 2022

Awesome-Federated-Learning

A curated list of resources on federated learning, especially focusing on the theoretical perspectives.

EF-BV

EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS, 2022

EFBV_Nonconvex

A Unified Theory of Error Feedback and Variance Reduction for Non-Convex Optimization.

GRaWD

Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation

WilliamYi96

awesome-federated-computing

:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

CADA-VAE-PyTorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

CLIP

Contrastive Language-Image Pretraining

CuMix

Official code for "Towards Recognizing Unseen Categories in Unseen Domains"

datasets

DMG

Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"

FedComLoc

FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models

FedML

FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).

FLSims

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

opt_methods

Benchmarking optimization methods on convex problems.

PromptPapers

Must-read papers on prompt-based tuning for pre-trained language models.

pygcn

Graph Convolutional Networks in PyTorch

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

tfvaegan

Official repository with Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification" (ECCV 2020)

transformers

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