yjlee22's Stars
pavlin-policar/openTSNE
Extensible, parallel implementations of t-SNE
dottxt-ai/outlines
Structured Text Generation
oobabooga/text-generation-webui
A Gradio web UI for Large Language Models.
p-giakoumoglou/pyssl
Self-Supervised Learning in PyTorch
xyanchen/WiFi-CSI-Sensing-Benchmark
mateuszbuda/brain-segmentation-pytorch
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
awslabs/fortuna
A Library for Uncertainty Quantification.
apple/ml-flair
A large labelled image dataset for benchmarking in federated learning
WwZzz/easyFL
An experimental platform for federated learning.
AshwinRJ/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Swift-Coding-Club/SwiftCodingClub
biodatlab/biodatlab.github.io
Website for Biomedical and Data (Bio-Dat) lab at Mahidol University, Thailand
W3Layouts/gatsby-starter-delog
A blog for designers and developer, built with Gatsby and Netlfiy CMS. Live demo https://delog-w3layouts.netlify.com/
KordingLab/KordingLab.github.io
Jekyll page for Kording lab webpage
TorchDSP/torchsig
TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
yjlee22/CyclicAggregation
PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS
yjlee22/byzantineFL
PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
epfml/byzantine-robust-optimizer
Learning from history for Byzantine Robustness
nicehiro/GAA-Consensus
litian96/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
shaoxiongji/federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
kclip/Epistemic-Uncertainty-AISTATS2022
Code for the paper "Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning"
kclip/channel-prediction-meta-learning
Code for the paper "Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition"
lokinko/Federated-Learning
联邦学习
haithienld/deep-learning-snu
Deep-learning-class ECE SNU
JongMokKim/mix-unmix
boost-devs/ai-tech-interview
👩💻👨💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)