Nicklas Hansen's repositories
rnn_lstm_from_scratch
How to build RNNs and LSTMs from scratch with NumPy.
voice-activity-detection
Voice Activity Detection (VAD) using deep learning.
dmcontrol-generalization-benchmark
DMControl Generalization Benchmark
policy-adaptation-during-deployment
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
neural-net-optimization
PyTorch implementations of recent optimization algorithms for deep learning.
minimal-nas
Minimal implementation of a Neural Architecture Search system.
adaptive-learning-rate-schedule
PyTorch implementation of the "Learning an Adaptive Learning Rate Schedule" paper found here: https://arxiv.org/abs/1909.09712.
nicklashansen.github.io
Repository for my personal site https://nicklashansen.github.io/, built with plain html.
docker-from-conda
Builds a docker image from a conda environment.yml file.
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).
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.
nautilus-launcher
Minimal launcher for Nautilus
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.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
deep-rl-algos
Collection of deep reinforcement learning algorithm implementations.
me
About me
octo
Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.
pixelcnn-made
PyTorch implementation of the auto-regressive PixelCNN-MADE architecture.
ppo-procgen-utils
Utility functions for the projects that I supervise in 02456 Deep Learning @ DTU.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
reinforcement-learning-dennybritz-exercises
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
rlds_dataset_builder
An example RLDS dataset builder for X-embodiment dataset conversion.