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An Artificial Intelligence Platform for IT Operations.
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Adaptive Experimentation Platform
This is the code for 'Build an AI Startup with Pytorch" by Siraj Raval
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Combining Evolutionary Algorithms and deep RL in various ways
cs224w(图机器学习)2021冬季课程的colab
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
Hands-on Deep Reinforcement Learning, published by Packt
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Pytorch Implementation of DeepLog.
Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.
Code accompanying the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" accepted at NIPS 2018
There are 2D-Search and 3D-Graph-View for knowledge graph visualization.
Multi-agent Reinforcement Learning for Liquidation Strategy Analysis. ICML 2019 AI in Finance.
A log analysis toolkit for automated anomaly detection [ISSRE'16]
Anomaly Detection and Correlation library
A collection of machine learning examples and tutorials.
Source code of MicroRCA
The helm chart to deploy Milvus
A modular active learning framework for Python
基于蒙特卡洛树(MCTS)的多维监控异常根因分析
NLP model implementations with keras for beginner
Large Language Models for Supply Chain Optimization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.