zchoice

zchoice's Stars

• sjf0115/data-example

  大数据学习历程相关代码

  Language:Java3317

• lyhue1991/torchkeras

  Pytorch❤️ Keras 😋😋

  Language:Jupyter Notebook1.8k231

• microsoft/qlib

  Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

  Language:Python15.5k2.6k

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18.7k4.2k

• zademn/mnist-mlops-learning

  In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

  Language:Python10523

• autowarefoundation/autoware_ai_perception

  Language:C++408198

• autodeployai/ai-serving

  Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints

  Language:Scala14831

• wellinxu/nlp_store

  NLP杂货铺，python实现各种算法/工具，辅助算法理解/应用

  Language:Python15341

• DSXiangLi/CTR

  CTR模型代码和学习笔记总结

  Language:Python37794

• siqi13579/ctr_Keras

  LR, Wide&Deep, DCN, NFM, DeepFM, NFFM

  Language:Python11735

• Rockyzsu/stock

  30天掌握量化交易 (持续更新)

  Language:Python5.3k1.3k

• DingZaiHub/PythonSpider

  JS逆向系列教程，模拟登录，AES、RSA、DES加密等，持续更新，欢迎 star！

  Language:JavaScript401123

• jin10086/browser-environment-test

  Language:HTML6214

• cap-ntu/ML-Model-CI

  MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

  Language:Python19033

• ChuanyuXue/CIKM-2019-AnalytiCup

  1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

  Language:Jupyter Notebook22950

• fastapi/fastapi

  FastAPI framework, high performance, easy to learn, fast to code, ready for production

  Language:Python77.3k6.6k

• pratos/flask_api

  Creating a Machine Learning API using Flask - Repository for AV Article

  Language:HTML191133

• liweiwei1419/AlgoWiki

  总结算法刷题套路

  Language:HTML7515

• Qiuyan918/m5_forcasting

  https://www.kaggle.com/c/m5-forecasting-accuracy/overview/

  Language:Python121

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.6k1.4k

• yzhao062/SUOD

  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

  Language:Python38049

• yzhao062/combo

  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination

  Language:Python642107

• alshedivat/meta-blocks

  A modular toolbox for meta-learning research with a focus on speed and reproducibility.

  Language:Python1239

• sunlabuiuc/PyHealth

  A Deep Learning Python Toolkit for Healthcare Applications.

  Language:Python976211

• mercari/ml-system-design-pattern

  System design patterns for machine learning

  2.3k243

• guoday/Tencent2020_Rank1st

  The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.

  Language:Python1k318

• alibaba/clusterdata

  cluster data collected from production clusters in Alibaba for cluster management research

  Language:Jupyter Notebook1.6k407

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.4k1.8k

• Tencent/Metis

  Metis is a learnware platform in the field of AIOps.

  Language:Python1.7k495

• DA-southampton/Tech_Aarticle

  主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

  1.7k328