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Name: Andrei Kvasov
Type: User
Bio: AI engineer | Deep Reinforcement Learning & Generative AI researcher
Location: Hong Kong, Israel
Name: Andrei Kvasov
Type: User
Bio: AI engineer | Deep Reinforcement Learning & Generative AI researcher
Location: Hong Kong, Israel
:alarm_clock: AI conference deadline countdowns
Bayesian Multi-type Mean Field Multi-agent Imitation Learning
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Version of CyberBattleSim https://github.com/microsoft/CyberBattleSim with extended funcitonality for training RL agents attacks on web applications
Repo for the Deep Reinforcement Learning Nanodegree program
Skoltech Deep Learning course
Lecture notes & Assignments of the CS294-112 course on Deep Reinforcement Learning in UC Berkley
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implementation of DeepMind paper - "Learning to Navigate in Complex Environments"
A toolkit for developing and comparing reinforcement learning algorithms.
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Kaggle competitions
Team 20 KDD course project 2018 "Fine-Tuning strategy for classification based on transfer & active learning"
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
MINOS: Multimodal Indoor Simulator
multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)
Learning human driver models from NGSIM data with imitation learning.
Online Handwriting Recognition with Smoothed SVM
Updated with World Bank Data Olympics dataset and NEW PCP coordinates plot notebook
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.