gkovaig's Stars
cmu-phil/tetrad
Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
SisiMa1729/Causal_Feature_Selection
Causal Feature Selection Tutorial for AMIA2018
cms-opendata-education/cms-jupyter-materials-english
This repository contains material for classroom activities using open data from CMS CERN. Materials include basic introduction to Python and Jupyter Notebooks and ready exercises for the classrooms. LEARN: import csv-files, select data, plot histograms, python, particle physics e.g. two muon spectrum
ankonzoid/LearningX
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
zackchase/mxnet-slides
Slides from MXNet tutorials
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
OHDSI/OHDSI-in-a-Box
Virtual Machine containing SynPUF data in OMOP CDM, a RDBS including query client, WebAPI, ATLAS, R and Python.
google/fhir
FHIR Protocol Buffers
GoogleCloudPlatform/healthcare
bee-hive/MedGP
A distributed version of the sparse multi-output Gaussian process framework integrating python and C++.
online-pol-ads/FBPoliticalAds
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
ComputationalMedicineLab/patient2vec
Embedding Complexity In the Data Representation Instead of In the Model (arXiv:1802.04233)
rafalab/dslabs
Data Science Labs R package: includes functions and data for data science courses
rafalab/dsbook
Repository for data science book
samuelreh/spotr
Launch, snapshot and destroy AWS spot instances
radekosmulski/aws-setup
anthony-chaudhary/tensorboard-rnn-example
argilla-io/kcap17-tutorial
Material for tutorial "Hybrid techniques for knowledge-based NLP: Knowledge graphs meet machine learning and all their friends" at KCAP 2017, Austin (Texas)
argilla-io/get_started_with_deep_learning_for_text_with_allennlp
Getting started with AllenNLP and PyTorch by training a tweet classifier
ggzheng/SAS2017
SAS Global Forum 2017
ggzheng/CSP2018
mike-bowles/hdDeepLearningStudy
Code etc for Hacker Dojo Deep Learning Study Group
mike-tamir/hdDeepLearningStudy
Code etc for Hacker Dojo Deep Learning Study Group
fastai/fastai
The fastai deep learning library
minimaxir/reddit-bigquery
Code + Jupyter notebook for analyzing and visualizing Reddit Data quickly and easily
text-machine-lab/CliNER
Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.
LiyuanLucasLiu/word2vec_0
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.