nrisatyaki's Stars
liupei101/Tutorial-Machine-Learning-Based-Survival-Analysis
This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.
amueller/COMS4995-s19
COMS W4995 Applied Machine Learning - Spring 19
dipanjanS/nlp_workshop_odsc19
Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
amesar/mlflow-spark-summit-2019
MLFlow Spark Summit 2019 Presentation
harnav/pydata-docker-tutorial
Tutorial given at PyData LA 2018
abhayspawar/featexp
Feature exploration for supervised learning
gbosquechacon/statrethink_course_in_pymc3
Statistical Rethinking course in pymc3
rmcelreath/statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
mplatzer/BTYDplus
R package for Customer Behavior Analysis
JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
n-waves/multifit
The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
mmcctt00/SpanishTransformerXL
Language model trained on wiki corpus (500M tokens) with fastai v1 acc>42.3% len(vocab)=60K
el-cornetillo/senti-py
A sentiment Analysis classifier in spanish
adai183/ULMFiT_es
cemoody/lda2vec
JasonKessler/ICLR18ReviewVis
Visualizing language used in ICLR 2018 reviews using Scattertext
JasonKessler/mueller_report
Using Scattertext to Understand the Mueller Report
JasonKessler/Scattertext-PyData
Notebooks for the Seattle PyData 2017 talk on Scattertext
JasonKessler/scattertext
Beautiful visualizations of how language differs among document types.
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
andrikosrikos/Google-Cloud-Support
mattilyra/pydataberlin-2017
Repo for my talk at the PyData Berlin 2017 conference
davidsbatista/Aspect-Based-Sentiment-Analysis
Aspect-Based Sentiment Analysis Experiments
dkn22/embedder
Embed categorical variables via neural networks.