Rony Lee's repositories
arrow-ipc-bench
Testing various methods of moving Arrow data between processes
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
CrypTen
A framework for Privacy Preserving Machine Learning
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
DDP-example
Pytorch model training using Distributed Data Parallel module
djl
An Engine-Agnostic Deep Learning Framework in Java
federated
A framework for implementing federated learning
federated-xgboost
Federated gradient boosted decision tree learning
FedLab-benchmarks
Standard federated learning implementations in FedLab and FL benchmarks.
fedlearn-algo
Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers
fedlearner
A multi-party collaborative machine learning framework
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
flower
Flower - A Friendly Federated Learning Framework
gauss-rank-scaler
Scikit-learn compatible implementation of the Gauss Rank scaling method
Hands-on-RL
https://hrl.boyuai.com/
LibtorchTutorials
This is a code repository for pytorch c++ (or libtorch) tutorial.
MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
NumCpp
C++ implementation of the Python Numpy library
python-psi
Private set intersection implemented in Python
pytorch-distributed-training
Simple tutorials on Pytorch DDP training
PytorchGeometricTutorial
Pytorch Geometric Tutorials
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Sequel-Ace
MySQL/MariaDB database management for macOS
torchdistill
PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
veryhannibal
Config files for my GitHub profile.
ymir
JAX-based federated learning library + my FL research works