Pinned Repositories
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
BiggerRegularizedOptimistic
Official implementation of the BRO algorithm
curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
dimacs-SAT-solvers
dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
dmc2gym
OpenAI Gym wrapper for the DeepMind Control Suite
dot
The Deepfake Offensive Toolkit
high_replay_ratio_continuous_control
Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
Model-Based-Many-Actions
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
naumix's Repositories
naumix/BiggerRegularizedOptimistic
Official implementation of the BRO algorithm
naumix/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
naumix/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
naumix/dimacs-SAT-solvers
naumix/dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
naumix/dmc2gym
OpenAI Gym wrapper for the DeepMind Control Suite
naumix/dot
The Deepfake Offensive Toolkit
naumix/high_replay_ratio_continuous_control
Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
naumix/Model-Based-Many-Actions
naumix/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
naumix/professional-programming
A collection of learning resources for curious software engineers
naumix/python-paralellization-experiments
naumix/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).
naumix/pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
naumix/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
naumix/robosuite
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
naumix/schedule_free
Schedule Free Optimization Entry
naumix/the-algorithm
Source code for Twitter's Recommendation Algorithm
naumix/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
naumix/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.
naumix/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020