kylejcaron

kylejcaron's Stars

• vincentarelbundock/pymarginaleffects

  Language:Python579

• pymc-devs/pymc

  Bayesian Modeling and Probabilistic Programming in Python

  Language:Python8.7k2k

• pymc-labs/pymc-marketing

  Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

  Language:Python705198

• arviz-devs/arviz

  Exploratory analysis of Bayesian models with Python

  Language:Python1.6k407

• pyro-ppl/numpyro

  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

  Language:Python2.2k241

• google/grain

  Language:Python30220

• xarray-contrib/xbatcher

  Batch generation from xarray datasets

  Language:Python16627

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.8k480

• ericmjl/bayesian-analysis-recipes

  A collection of Bayesian data analysis recipes using PyMC3

  Language:Jupyter Notebook554111

• ksachdeva/rethinking-tensorflow-probability

  Statistical Rethinking (2nd Ed) with Tensorflow Probability

  Language:Jupyter Notebook26950

• akelleh/causality

  Tools for causal analysis

  Language:Python1.1k129

• careercup/CtCI-6th-Edition-Python

  Cracking the Coding Interview 6th Ed. Python Solutions

  Language:Python5k1.8k

• kojino/120-Data-Science-Interview-Questions

  Answers to 120 commonly asked data science interview questions.

  3.7k1.3k

• shawlu95/Beyond-LeetCode-SQL

  Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.

  Language:Jupyter Notebook1.1k438

• blei-lab/edward

  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

  Language:Jupyter Notebook4.8k759

• cavaunpeu/flight-delays

  Transfer learning for flight-delay prediction via variational autoencoders in Keras

  Language:Jupyter Notebook3316

• jilmun/ISLR

  Student Solutions to An Introduction to Statistical Learning with Applications in R

  204138

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.5k3.5k

• pltrdy/files2rouge

  Calculating ROUGE score between two files (line-by-line)

  Language:Perl19153

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.7k8.7k

• thushv89/attention_keras

  Keras Layer implementation of Attention for Sequential models

  Language:Python444266

• salesforce/awd-lstm-lm

  LSTM and QRNN Language Model Toolkit for PyTorch

  Language:Python2k488

• ZihanDong/poseCNN

  GoogLeNet Based Visual Camera Relative Pose Estimation

  Language:Jupyter Notebook73

• jokecamp/FootballData

  A hodgepodge of JSON and CSV Football/Soccer data

  Language:CSS676376

• practical-recommender-systems/moviegeek

  A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

  Language:Python905361

• mdlai/player_tracker

  Tracking and finding coordinates for players in a youtube video

  Language:Jupyter Notebook559

• evanmiltenburg/negation-detector

  Tool to detect negations in a text.

  Language:Python3