https://github.com/blurgyy/cg-2020 • Science 13%

C++ implementations of Hierarchical z-buffer & Physically based rendering via Monte Carlo path tracing

https://github.com/blurgyy/plan2scene • Science 10%

Official implementation of the paper Plan2Scene.

https://github.com/blutjens/climate-emulator • Science 36%

A comparison of linear regression vs. deep learning for emulating climate models in the presence of internal variability. (public)

https://github.com/blutjens/geospatial_unet_pytorch • Science 13%

Barebone code for training UNet to segment remote sensing imagery

https://github.com/blutjens/wisosuper • Science 10%

https://github.com/blutjens/rllab • Science 20%

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

https://github.com/blutjens/reforestree • Science 10%

🌴 A dataset for estimating tropical forest biomass based on drone and field data

https://github.com/blutjens/maml_rl • Science 20%

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

https://github.com/blutjens/graphino • Science 10%

Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks". This paper is currently under review.

https://github.com/blutjens/deepxde • Science 33%

Deep learning library for solving differential equations and more

https://github.com/blv-osav-usav/data.blv.admin.ch • Science 26%

Publication of the Open Government Data of the Swiss Federal Food Safety and Veterinary Office (FSVO)

https://github.com/blv-osav-usav/lumpy_skin_disease_2025_adis_data • Science 26%

https://github.com/blv-osav-usav/dashboard.blv.admin.ch • Science 26%

https://github.com/blv-osav-usav/.github • Science 13%

https://github.com/bmascat/meta-analysis-alms • Science 26%

Frequentist analysis of the genotype-phenotype associations in patients with Alström syndrome

https://github.com/bmascat/ml-ae-paxlovid • Science 13%

Study to determine whether it is possible to predict the occurrence of nervous adverse effects in a cohort of paxlovid-treated patients based on their comorbidities.

https://github.com/bmascat/deep-side-effects-predictor • Science 13%

side project to try to determine the potential adverse effects of a drug based on its characteristics.

https://github.com/bmascat/rna-seq-proteomics-pipeline • Science 26%

Multi-omics analysis of LFQ proteomics and transcriptomics of an ALMS1 gene knockout cell model after TGF-B pathway stimulation.

https://github.com/bmascat/scgpt • Science 23%

https://github.com/bmascat/academic-keyword-occurrence • Science 13%

Extract number of results from a search terms list in academic papers