leepand

RL/MLOps，提供解决方案支持

安博思创始人Beijing

Pinned Repositories

AlgoLink-deploy
模型部署说明文档
10
AnnoyKnn
powerful classification algorithm K-Nearest-Neighbors (KNN) using annoy(spotify) in C++/Python optimized for memory usage and loading/saving to disk
Language:Python10
Cooccurrence-prob
Language:C10
CTRLab
Language:C++10
Face_Recognition_service
Face recognition online service, allow user realtime training it and do Age/Gender detection in Tensorflow.
Language:JavaScript30
Feature-Auto-Extraction
Language:C++10
Machine_Learning_offline_tools
Language:C++10
MLOps-practice
MLops—实践机器学习从开发到生产
Language:Jupyter Notebook8 2 03
XGBoost_LR_FFM_hyperopt
Language:C++62
yolo-img-classifier
A Flask Web Interface for yolo Image Classifier
Language:Python70

leepand's Repositories

leepand/MLOps-practice
MLops—实践机器学习从开发到生产
Language:Jupyter Notebook8 2 03
leepand/mini-mlops
MLOps for (online) machine/reinforcement learning
Language:Python1 1 0
leepand/py_functions
python 函数集、工具
Language:Python1
leepand/RLXtreme
RLXtreme是一个轻量级且高效的Python强化学习算法包，旨在提供极致性能和灵活业务应用的强化学习解决方案。
Language:Python1
leepand/AlgoLink-docs
AlgoLink说明手册
leepand/bandit-recom
通过AI驱动的推荐，提高客户满意度和消费。适用于您的主页、产品详情、电子邮件营销活动等。
Language:Python
leepand/domino-research
Projects developed by Domino's R&D team
leepand/ebonite
machine learning lifecycle framework
leepand/featurekit
feature tools
Language:Python1 0
leepand/GradX-AI
我们的AI个性化以RL为基础的，旨在将游戏从“一刀切”的模式转变为根据个别玩家喜好定制体验的模式。为了实现这一目标，我们创建了GradX-AI系统，这是一个开创性的实时推荐系统。
Language:Python
leepand/leepand
RLXtreme是一个轻量级且高效的Python强化学习算法包，旨在提供极致性能和灵活业务应用的强化学习解决方案。
leepand/leepand.github.io
javascript demo of MWUA(Multiplicative Weights Update Algorithm)
Language:JavaScript
leepand/LightFM-Dataset-Helper
python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
leepand/LinkToFeatuteStore
LinkTOFeatuteStore
Language:Python
leepand/minirl
minirl
leepand/ml_template
机器学习项目模版-cookiecutter
Language:Jupyter Notebook1 0
leepand/Neural-Linear-Bandits-with-Likelihood-Matching
leepand/nn_dqn-from-scratch
MLP-framework (pure numpy) and DQN-framework for OpenAI's Gym games.
Language:Python
leepand/nn_from_scratch
使用NumPy从头开始编写神经网络
Language:Python
leepand/onlineLearning
online learning
1 0
leepand/OptimX-AI
OptimX-AI 轻量级的MLOps平台
Language:Python1 0
leepand/Optimx-grad
Neural Network From Scratch
Language:Python
leepand/Optimx-RL
一个轻量级且高效的Python强化学习工具，旨在提供极致性能和灵活业务应用的强化学习解决方案，optimx-ai的子集。
Language:Python1 0
leepand/Optimx-Track
跟踪并共享人工智能实时实验、策略
leepand/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
leepand/RLLoadBalancer
modify the nginx configurations files without cli.
Language:Python1 0
leepand/RLOps
rlops for real time rl models
Language:Python
leepand/single-ddqn-numpy
使用numpy的ddqn 高效实现
Language:Python
leepand/TinyNet
Neural Network From Scratch
Language:Python
leepand/zenml
ZenML: Bring Zen to your ML with reproducible pipelines