Polichinel's Stars
fkjoeller/fkjoeller.github.io
this is my personal website
prio-data/views_pipeline
VIEWS forecasting pipeline for monthly prediction runs. Includes MLops and QA for all models/ensembles.
ikatyang/emoji-cheat-sheet
A markdown version emoji cheat sheet
markdown-templates/markdown-emojis
:fire: All the emojis :tada:
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
ollama/ollama
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
lebib2011/Oenskelister
En mappe med lebib's ønskelister
Flugge2013/Oenskelister
En mappe med Flugges ønskelister
ikarth/wfc_2019f
mxgmn/WaveFunctionCollapse
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
arakkkkk/kanban.nvim
Kanban boad with Neovim!!
hamvocke/dotfiles
A collection of my personal dotfiles
tmux-plugins/tpm
Tmux Plugin Manager
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
gouthamnaveen/CRPS
A package to compute the Continuous Ranked Probability Score (crps) (Matheson and Winkler, 1976; Hersbach, 2000), the fair-crps (fcrps) (Ferro et al., 2008), and the adjusted-crps (acrps) (Ferro et al., 2008) given an ensemble prediction and an observation. The continuous ranked probability score is a negatively oriented score that is used to compare the empirical distribution of an ensemble prediction to a scalar observation. References: [1] Matheson, J. E. & Winkler, R. L. Scoring Rules for Continuous Probability Distributions. Management Science 22, 1087–1096 (1976). [2] Hersbach, H. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems. Wea. Forecasting 15, 559–570 (2000). [3] Ferro, C. A. T., Richardson, D. S. & Weigel, A. P. On the effect of ensemble size on the discrete and continuous ranked probability scores. Meteorological Applications 15, 19–24 (2008).
HazyResearch/spacetime
Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.
joplin/plugin-kanban
It allows notes in a notebook to be organized in a kanban board.
openeventdata/PLOVER
Next generation event data ontology
Polichinel/from_headlines_to_hotspots
A-Lohse/IC2S2-23-Image-as-data
Repo for the Image as data tutorial at the IC2S2 23 conference.
alexmeredith8299/focal_loss_pytorch
Simple vectorized PyTorch implementation of binary unweighted focal loss
clcarwin/focal_loss_pytorch
A PyTorch Implementation of Focal Loss.
fcakyon/balanced-loss
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
UppsalaConflictDataProgram/viewser
The viewser package interacts with ViEWS cloud to retrieve data, and other useful resources
ywatanabe1989/custom_losses_pytorch
Custom loss functions to use in (mainly) PyTorch.
chrisby/torchMTL
A lightweight module for Multi-Task Learning in pytorch.
prio-data/views3
prio-data/viewsforecasting
Jupyter notebooks and python scripts for performing the ViEWS monthly forecasts
UppsalaConflictDataProgram/ingester3
prio-data/viewser
A CLI for interacting with the ViEWS 3 backend