🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.
APACHE-2.0 License
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, ...
Federated posterior averaging implemented in JAX
Flower: A Friendly Federated Learning Framework
For distributed machine learning
An open-source framework for machine learning and other computations on decentralized data.
CIKM 2021 Full Paper: FedMatch: Federated Learning Over Heterogeneous Question Answering Data
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
Machine learning on FPGAs using HLS
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DP...
🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
An open platform for training, serving, and evaluating large language models. Release repo for Vi...
OpenChat: Advancing Open-source Language Models with Imperfect Data
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
FedNAS: Federated Deep Learning via Neural Architecture Search
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。