LZChuan's repositories
Learning-Prompt
免费 Prompt Engineering 教程
MadeWithML
Learn how to responsibly deliver value with ML.
KubeFATE
Manage federated learning workload using cloud native technologies.
FATE
An Industrial Grade Federated Learning Framework
SEAL
Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.
RtF-Transciphering
A library for lattice-based homomorphic encryption in Go
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
fedlearn-algo
Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers
FedML
A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
PySyft
A library for answering questions using data you cannot see
books
技术资料分享
toolbox
various tools such as label-tools , data-augmentation , etc.
awesome-ppml
A curated list of resources for privacy-preserving machine learning
Kashgari
Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
abu
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
MathAndScienceNotes
Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
Peppa_Pig_Face_Engine
A simple face detect and aligment method, it is easy and stable
zvt
write trading algorithm once, run it on all markets
easytrader
提供银河/国金/华泰客户端/同花顺客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件
Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
privateml
Various material around private machine learning, some associated with blog
distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers