nicklashansen

dmcontrol-generalization-benchmark

DMControl Generalization Benchmark

minimal-nas

Minimal implementation of a Neural Architecture Search system.

neural-net-optimization

PyTorch implementations of recent optimization algorithms for deep learning.

policy-adaptation-during-deployment

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

puppeteer

Code for "Hierarchical World Models as Visual Whole-Body Humanoid Controllers"

rnn_lstm_from_scratch

How to build RNNs and LSTMs from scratch with NumPy.

svea-vit

Code for the paper "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"

tdmpc

Code for "Temporal Difference Learning for Model Predictive Control"

tdmpc2

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

voice-activity-detection

Voice Activity Detection (VAD) using deep learning.

nicklashansen/tdmpc

Code for "Temporal Difference Learning for Model Predictive Control"

nicklashansen/tdmpc2

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

nicklashansen/rnn_lstm_from_scratch

How to build RNNs and LSTMs from scratch with NumPy.

nicklashansen/voice-activity-detection

Voice Activity Detection (VAD) using deep learning.

nicklashansen/dmcontrol-generalization-benchmark

DMControl Generalization Benchmark

nicklashansen/puppeteer

Code for "Hierarchical World Models as Visual Whole-Body Humanoid Controllers"

nicklashansen/policy-adaptation-during-deployment

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

nicklashansen/neural-net-optimization

PyTorch implementations of recent optimization algorithms for deep learning.

nicklashansen/minimal-nas

Minimal implementation of a Neural Architecture Search system.

nicklashansen/svea-vit

Code for the paper "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"

nicklashansen/adaptive-learning-rate-schedule

PyTorch implementation of the "Learning an Adaptive Learning Rate Schedule" paper found here: https://arxiv.org/abs/1909.09712.

nicklashansen/nicklashansen.github.io

Repository for my personal site https://nicklashansen.github.io/, built with plain html.

nicklashansen/a3c

Asynchronous Advantage Actor-Critic using Generalized Advantage Estimation (PyTorch)

nicklashansen/docker-from-conda

Builds a docker image from a conda environment.yml file.

nicklashansen/music-genre-classification

Exam project on Audio Features for Music Genre Classification for course 02452 Audio Information Processing Systems at Technical University of Denmark (DTU).

nicklashansen/smallrl

Personal repository for quick RL prototyping. Work in progress!

nicklashansen/awesome-rl-envs

nicklashansen/bachelor-thesis

Repository for bachelor thesis on Automatic Multi-Modal Detection of Autonomic Arousals in Sleep. The thesis itself and all related data is confidential and thus not publicly available, but access to the thesis can be granted by sending a request to hello@nicklashansen.com.

nicklashansen/nautilus-launcher

Minimal launcher for Nautilus

nicklashansen/reinforcement-learning-sutton-barto

Personal repository for course on reinforcement learning. Includes implementations of various problems from the Reinforcement Learning: An Introduction book by R. Sutton and A. Barto.

nicklashansen/awesome-self-supervised-learning

A curated list of awesome self-supervised methods

nicklashansen/clevr-iep

Inferring and Executing Programs for Visual Reasoning

nicklashansen/deep-rl-algos

Collection of deep reinforcement learning algorithm implementations.

nicklashansen/me

About me

nicklashansen/octo

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

nicklashansen/pixelcnn-made

PyTorch implementation of the auto-regressive PixelCNN-MADE architecture.

nicklashansen/ppo-procgen-utils

Utility functions for the projects that I supervise in 02456 Deep Learning @ DTU.

nicklashansen/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

nicklashansen/rlds_dataset_builder

An example RLDS dataset builder for X-embodiment dataset conversion.

nicklashansen/vae-svhn

Variational Autoencoder (VAE) on the Street View House Numbers (SVHN) dataset.