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naumix's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

curl icon curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

dm_control icon dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

dmc2gym icon dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

dot icon dot

The Deepfake Offensive Toolkit

multi-modal_fake_news_detection_using_gcn_and_lm icon multi-modal_fake_news_detection_using_gcn_and_lm

This repository holds all code for our multi-modal Fake News Detection model, which combines a GCN and a LM. This model was designed and implemented in the context of the Project AI course taught at the UvA in the Spring 2019 semester

pytorch-a2c-ppo-acktr-gail icon pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

robosuite icon robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

uva-fact-ai-course icon uva-fact-ai-course

This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accountability, Confidentiality, and Transparency (FACT). These were implemented as part of the FACT-AI course at the University of Amsterdam.

uvadlc_notebooks icon uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020

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