slerch

slerch's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook48k471765.1k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  28.1k293432.3k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.5k2442.6k3.3k

• academicpages/academicpages.github.io

  Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

  Language:JavaScript13.5k8938946.1k

• awslabs/gluonts

  Probabilistic time series modeling in Python

  Language:Python4.8k75970774

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.2k6625559

• yihui/xaringan

  Presentation Ninja 幻灯忍者 · 写轮眼

  Language:CSS1.5k64276283

• awslabs/open-data-registry

  A registry of publicly available datasets on AWS

  Language:Python1.5k72100958

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.3k24151197

• allisonhorst/palmerpenguins

  A great intro dataset for data exploration & visualization (alternative to iris).

  Language:R9332428223

• brentthorne/posterdown

  Use RMarkdown to generate PDF Conference Posters via HTML

  Language:HTML8582894134

• rstudio/keras3

  R Interface to Keras

  Language:R845631.1k282

• microsoft/ClimaX

  Foundation model for weather & climate

  Language:Python597243487

• StatMixedML/XGBoostLSS

  An extension of XGBoost to probabilistic modelling

  Language:Python585254462

• NVlabs/FourCastNet

  Initial public release of code, data, and model weights for FourCastNet

  Language:Python5662622138

• sherpa-ai/sherpa

  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

  Language:JavaScript335105854

• xarray-contrib/xskillscore

  Metrics for verifying forecasts

  Language:Python2321420340

• openclimatefix/graph_weather

  PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

  Language:Python22648261

• shengchaochen82/Awesome-Foundation-Models-for-Weather-and-Climate

  A comprehesive survey about foundation models for weather and cliamte data understanding.

  2147232

• eddelbuettel/binb

  Binb is not Beamer

  Language:TeX19081427

• bugsuse/meteoai

  The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.

  15610367

• njtierney/rmd4sci

  Rmarkdown for Scientists

  Language:RMarkdown12872642

• resulumit/rmd_workshop

  Materials for a workshop on writing reproducible research papers with R Markdown

  Language:HTML12852033

• spcl/deep-weather

  Deep Learning for Post-Processing Ensemble Weather Forecasts

  Language:Jupyter Notebook9214018

• EUPP-benchmark/climetlab-eumetnet-postprocessing-benchmark

  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.

  Language:Python31313

• AlexanderHenzi/isodistrreg

  Isotonic Distributional Regression (IDR)

  Language:R15312

• eabarnes1010/controlled_abstention_networks

  Neural network loss functions for regression and classification tasks that can say "I don't know".

  Language:Jupyter Notebook13204

• mscheuerer/NeuralNetworkS2S

  Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California'

  Language:Python13115

• WillyChap/ARML_Probabilistic

  Language:Jupyter Notebook2100

• jbracher/dengue_noro_rota

  Updated files to reproduce the analyses from Bracher/Held: Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction

  Language:R1102