dirknbr's Stars
3b1b/manim
Animation engine for explanatory math videos
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
automl/auto-sklearn
Automated Machine Learning with scikit-learn
owid/covid-19-data
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
dreamquark-ai/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
LingDong-/fishdraw
procedurally generated fish drawings
szilard/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
jeongyoonlee/Kaggler
Code for Kaggle Data Science Competitions
AllenDowney/ThinkComplexity2
Book and code for Think Complexity, 2nd edition
Ranlot/single-parameter-fit
Real numbers, data science and chaos: How to fit any dataset with a single parameter
microprediction/timemachines
Predict time-series with one line of code.
rlouf/mcx
Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
mlco2/impact
ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template
OscarEngelbrektson/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
terrybroad/Learned-Sim-Autoencoder-For-Video-Frames
An implementation of an autoencoder with a learned similarity metric for reconstructing video frames
jorditorresBCN/FirstContactWithTensorFlow
This repository contains the information required by the TensorFlow Hands-on at Summer Seminar ETSETB TelecomBCN, 4-8 July 2016
liyinxiao/LambdaRankNN
LambdaRank Neural Network model using Keras.
google/trimmed_match
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
milkha/Splines_in_Stan
Implementation of B-Splines in Stan
seananderson/glmmfields
R package for Bayesian spatial and spatiotemporal GLMMs with possible extremes
jamesthomson/SpotifyDiscographyShinyApp
A Shiny App to create an d3.js interactive discography using the Spotify API
AnalyticsArtist/BlogFiles
Wordpress Blog Files
BlueHephaestus/bbho
Bayesian Black Box Hyper Parameter Optimizer
jlfwong/graphics-experiments
Bucket of unrelated graphics experiments. Just a place to keep stuff so I don't lose it.