naumix's repositories
Decoupled-Actor-Critic
Implementation of DAC
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
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"
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
professional-programming
A collection of learning resources for curious software engineers
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).
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
robosuite
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
schedule_free
Schedule Free Optimization Entry
the-algorithm
Source code for Twitter's Recommendation Algorithm
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
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
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2020